A novel algorithm of 3-D surface image registration is proposed. It makes use of the array information of 3-D points and takes vector/vertex-like features as the basis of the matching. That array information of 3-D po...A novel algorithm of 3-D surface image registration is proposed. It makes use of the array information of 3-D points and takes vector/vertex-like features as the basis of the matching. That array information of 3-D points can be easily obtained when capturing original 3-D images. The iterative least-mean-squared （LMS） algorithm is applied to optimizing adaptively the transformation matrix parameters. These can effectively improve the registration performance and hurry up the matching process. Experimental results show that it can reach a good subjective impression on aligned 3-D images. Although the algorithm focuses primarily on the human head model, it can also be used for other objects with small modifications.展开更多
In this paper,a new mission model,called a multi-debris active removal mission with partial debris capture strategy,is proposed.The model assumes that a platform only captures part of the scheduled debris at a time an...In this paper,a new mission model,called a multi-debris active removal mission with partial debris capture strategy,is proposed.The model assumes that a platform only captures part of the scheduled debris at a time and then releases these debris pieces to a disposal orbit.This process is then repeated until all of the scheduled debris is removed.A genetic algorithm with a multiparameter concatenated coding method is designed to optimize the plan of a multi-debris active removal mission with a partial debris capture strategy.A set of six pieces of debris and a set of 10 pieces of debris are selected to demonstrate the proposed planning method.The result confirms the effectiveness of the genetic algorithm with the multi-parameter concatenated coding method.The new mission model provides a more comprehensive decision-making framework than the existing mission models and makes it possible to further decrease mission costs.展开更多
该文针对可再生能源消纳和虚拟电厂碳减排的问题,提出了一种基于碳捕集系统(carbon capture and storage,CCS)、电转气(power to gas,P2G)和压缩液态CO_(2)储能(liquid carbon dioxide energy storage,LCES)的虚拟电厂(virtual power pl...该文针对可再生能源消纳和虚拟电厂碳减排的问题,提出了一种基于碳捕集系统(carbon capture and storage,CCS)、电转气(power to gas,P2G)和压缩液态CO_(2)储能(liquid carbon dioxide energy storage,LCES)的虚拟电厂(virtual power plant,VPP)优化调度模型。该模型综合考虑了CCS、P2G和LCES的运行特性,以最大化VPP的碳减排效益和经济效益为目标,通过优化调度VPP内部的可再生能源、储能设备和碳捕集装置,实现了可再生能源的高效利用。提出了一种改进的霜冰优化算法(particle swarm optimizationrime optimization algorithm,PSO-RIME)用以求解VPP调度模型,并通过算例分析去验证所提模型和算法的有效性。结果表明,该模型和算法可以显著提高可再生能源的消纳能力和净收益,降低VPP的碳排放.展开更多
采用醇胺法工艺对高含碳天然气进行脱碳处理时,其能耗随着碳含量的增加而提高。为降低高含碳天然气的脱碳能耗,提出了一种醇胺法工艺(N-甲基二乙醇胺作吸收剂)与级间冷却、富液分流解吸、酸气再压缩热泵和蒸汽机械再压缩技术(MVR)热泵...采用醇胺法工艺对高含碳天然气进行脱碳处理时,其能耗随着碳含量的增加而提高。为降低高含碳天然气的脱碳能耗,提出了一种醇胺法工艺(N-甲基二乙醇胺作吸收剂)与级间冷却、富液分流解吸、酸气再压缩热泵和蒸汽机械再压缩技术(MVR)热泵工艺耦合的二氧化碳(CO_(2))捕集耦合工艺流程(简称“耦合工艺”)。采用AspenHysys软件对影响耦合工艺节能效果的关键参数(级间物流冷却温度、贫液节流后压力、酸气再压缩压力和再生塔底重沸器温度)进行了分析,并通过响应面分析与遗传算法结合的方式对关键参数进行了优化。结果表明,优化后耦合工艺的级间物流冷却温度为58℃,贫液节流后压力为0.084MPa,酸气再压缩压力为0.195MPa,再生塔底重沸器温度为92℃。与联合工艺(膜分离+醇胺法)相比,耦合工艺的能耗明显降低,脱碳单位能耗(脱除1 t CO_(2)需要消耗的能量)由1.338 GJ/t下降至1.110 GJ/t。与优化前相比,耦合工艺优化后的净化气中CO_(2)含量(体积分数)由2.533%下降至2.326%,脱碳单位能耗由1.110GJ/t下降至1.074GJ/t。展开更多
文摘A novel algorithm of 3-D surface image registration is proposed. It makes use of the array information of 3-D points and takes vector/vertex-like features as the basis of the matching. That array information of 3-D points can be easily obtained when capturing original 3-D images. The iterative least-mean-squared （LMS） algorithm is applied to optimizing adaptively the transformation matrix parameters. These can effectively improve the registration performance and hurry up the matching process. Experimental results show that it can reach a good subjective impression on aligned 3-D images. Although the algorithm focuses primarily on the human head model, it can also be used for other objects with small modifications.
基金co-supported by the Open Fund Project of Space Intelligent Control Technology Laboratory(No.HTKJ2021KL502010)the Research Project of Space Debris and Near-earth Asteroid Defense Grants,China(No.KJSP 2020010303)the National Natural Science Foundation of China(No.11802130).
文摘In this paper,a new mission model,called a multi-debris active removal mission with partial debris capture strategy,is proposed.The model assumes that a platform only captures part of the scheduled debris at a time and then releases these debris pieces to a disposal orbit.This process is then repeated until all of the scheduled debris is removed.A genetic algorithm with a multiparameter concatenated coding method is designed to optimize the plan of a multi-debris active removal mission with a partial debris capture strategy.A set of six pieces of debris and a set of 10 pieces of debris are selected to demonstrate the proposed planning method.The result confirms the effectiveness of the genetic algorithm with the multi-parameter concatenated coding method.The new mission model provides a more comprehensive decision-making framework than the existing mission models and makes it possible to further decrease mission costs.
文摘该文针对可再生能源消纳和虚拟电厂碳减排的问题,提出了一种基于碳捕集系统(carbon capture and storage,CCS)、电转气(power to gas,P2G)和压缩液态CO_(2)储能(liquid carbon dioxide energy storage,LCES)的虚拟电厂(virtual power plant,VPP)优化调度模型。该模型综合考虑了CCS、P2G和LCES的运行特性,以最大化VPP的碳减排效益和经济效益为目标,通过优化调度VPP内部的可再生能源、储能设备和碳捕集装置,实现了可再生能源的高效利用。提出了一种改进的霜冰优化算法(particle swarm optimizationrime optimization algorithm,PSO-RIME)用以求解VPP调度模型,并通过算例分析去验证所提模型和算法的有效性。结果表明,该模型和算法可以显著提高可再生能源的消纳能力和净收益,降低VPP的碳排放.
文摘采用醇胺法工艺对高含碳天然气进行脱碳处理时,其能耗随着碳含量的增加而提高。为降低高含碳天然气的脱碳能耗,提出了一种醇胺法工艺(N-甲基二乙醇胺作吸收剂)与级间冷却、富液分流解吸、酸气再压缩热泵和蒸汽机械再压缩技术(MVR)热泵工艺耦合的二氧化碳(CO_(2))捕集耦合工艺流程(简称“耦合工艺”)。采用AspenHysys软件对影响耦合工艺节能效果的关键参数(级间物流冷却温度、贫液节流后压力、酸气再压缩压力和再生塔底重沸器温度)进行了分析,并通过响应面分析与遗传算法结合的方式对关键参数进行了优化。结果表明,优化后耦合工艺的级间物流冷却温度为58℃,贫液节流后压力为0.084MPa,酸气再压缩压力为0.195MPa,再生塔底重沸器温度为92℃。与联合工艺(膜分离+醇胺法)相比,耦合工艺的能耗明显降低,脱碳单位能耗(脱除1 t CO_(2)需要消耗的能量)由1.338 GJ/t下降至1.110 GJ/t。与优化前相比,耦合工艺优化后的净化气中CO_(2)含量(体积分数)由2.533%下降至2.326%,脱碳单位能耗由1.110GJ/t下降至1.074GJ/t。
