Wireless Body Area Network(WBAN)technologies are emerging with extensive applications in several domains.Health is a fascinating domain of WBAN for smart monitoring of a patient’s condition.An important factor to con...Wireless Body Area Network(WBAN)technologies are emerging with extensive applications in several domains.Health is a fascinating domain of WBAN for smart monitoring of a patient’s condition.An important factor to consider in WBAN is a node’s lifetime.Improving the lifetime of nodes is critical to address many issues,such as utility and reliability.Existing routing protocols have addressed the energy conservation problem but considered only a few parameters,thus affecting their performance.Moreover,most of the existing schemes did not consider traffic prioritization which is critical in WBANs.In this paper,an adaptive multi-cost routing protocol is proposed with a multi-objective cost function considering minimum distance from sink,temperature of sensor nodes,priority of sensed data,and maximum residual energy on sensor nodes.The performance of the proposed protocol is compared with the existing schemes for the parameters:network lifetime,stability period,throughput,energy consumption,and path loss.It is evident from the obtained results that the proposed protocol improves network lifetime and stability period by 30%and 15%,respectively,as well as outperforms the existing protocols in terms of throughput,energy consumption,and path loss.展开更多
在工业化建造和碳减排的背景下,预制装配化得到了极大关注。以装配式铁路桥梁为对象,首先,考虑4种典型构件类型(箱梁、桥面板、桥墩和盖梁),核算其预制与现浇两种方式在物化阶段的立方单项碳排放和建造成本,并构建以构件预制率为决策变...在工业化建造和碳减排的背景下,预制装配化得到了极大关注。以装配式铁路桥梁为对象,首先,考虑4种典型构件类型(箱梁、桥面板、桥墩和盖梁),核算其预制与现浇两种方式在物化阶段的立方单项碳排放和建造成本,并构建以构件预制率为决策变量的碳排放-成本双目标优化模型,系统优化预制构件的选择与组合;其次,采用非支配排序的鲸鱼优化算法(Non-Dominated Sorting Whale Optimization Algorithm,NSWOA)对构件组合方案进行求解,获得Pareto均衡解集;再次,通过博弈论思想融合主客观权重,并采用优劣解距离法(Technique for Order Preference by Similarity to an Ideal Solution,TOPSIS)对Pareto均衡解集进行科学决策,得到最佳构件组合方案;最后,以某西部装配式铁路桥梁为例开展实证分析。结果显示:优化方案较初始方案碳排放减少了361.66 t,成本减少了213.06万元。此外,预制率情景分析显示,不同的桥梁预制率对应不同的最佳构件组合,且碳排放与成本随预制率变化呈现不同趋势。研究成果可为装配式铁路桥梁低碳施工提供有效的优化策略。展开更多
针对二维工艺图的零件制造成本估算中存在人工依赖性强、一致性差、易错率高等问题,开发了一种基于多智能体框架的成本估算系统。该系统以大语言模型(Large Language Model,LLM)为核心任务规划和决策引擎,自动从工程图中提取关键成本驱...针对二维工艺图的零件制造成本估算中存在人工依赖性强、一致性差、易错率高等问题,开发了一种基于多智能体框架的成本估算系统。该系统以大语言模型(Large Language Model,LLM)为核心任务规划和决策引擎,自动从工程图中提取关键成本驱动参数,进行参数验证并完成制造成本估算。通过一个主智能体和多个任务智能体协同工作,融合了DWG格式的图样信息抽取、光学字符识别(Optical Character Recognition,OCR)、检索增强生成(Retrieval-augmented Generation,RAG)、成本模型构建及成本数据管理等技术,实现了对DWG、PDF、JPEG等多种格式工程图中多类零件的制造成本自动化估算,显著提升了成本估算准确性与效率,为制造业数字化转型提供智能化成本估算解决方案。展开更多
文摘Wireless Body Area Network(WBAN)technologies are emerging with extensive applications in several domains.Health is a fascinating domain of WBAN for smart monitoring of a patient’s condition.An important factor to consider in WBAN is a node’s lifetime.Improving the lifetime of nodes is critical to address many issues,such as utility and reliability.Existing routing protocols have addressed the energy conservation problem but considered only a few parameters,thus affecting their performance.Moreover,most of the existing schemes did not consider traffic prioritization which is critical in WBANs.In this paper,an adaptive multi-cost routing protocol is proposed with a multi-objective cost function considering minimum distance from sink,temperature of sensor nodes,priority of sensed data,and maximum residual energy on sensor nodes.The performance of the proposed protocol is compared with the existing schemes for the parameters:network lifetime,stability period,throughput,energy consumption,and path loss.It is evident from the obtained results that the proposed protocol improves network lifetime and stability period by 30%and 15%,respectively,as well as outperforms the existing protocols in terms of throughput,energy consumption,and path loss.
文摘在工业化建造和碳减排的背景下,预制装配化得到了极大关注。以装配式铁路桥梁为对象,首先,考虑4种典型构件类型(箱梁、桥面板、桥墩和盖梁),核算其预制与现浇两种方式在物化阶段的立方单项碳排放和建造成本,并构建以构件预制率为决策变量的碳排放-成本双目标优化模型,系统优化预制构件的选择与组合;其次,采用非支配排序的鲸鱼优化算法(Non-Dominated Sorting Whale Optimization Algorithm,NSWOA)对构件组合方案进行求解,获得Pareto均衡解集;再次,通过博弈论思想融合主客观权重,并采用优劣解距离法(Technique for Order Preference by Similarity to an Ideal Solution,TOPSIS)对Pareto均衡解集进行科学决策,得到最佳构件组合方案;最后,以某西部装配式铁路桥梁为例开展实证分析。结果显示:优化方案较初始方案碳排放减少了361.66 t,成本减少了213.06万元。此外,预制率情景分析显示,不同的桥梁预制率对应不同的最佳构件组合,且碳排放与成本随预制率变化呈现不同趋势。研究成果可为装配式铁路桥梁低碳施工提供有效的优化策略。
文摘针对二维工艺图的零件制造成本估算中存在人工依赖性强、一致性差、易错率高等问题,开发了一种基于多智能体框架的成本估算系统。该系统以大语言模型(Large Language Model,LLM)为核心任务规划和决策引擎,自动从工程图中提取关键成本驱动参数,进行参数验证并完成制造成本估算。通过一个主智能体和多个任务智能体协同工作,融合了DWG格式的图样信息抽取、光学字符识别(Optical Character Recognition,OCR)、检索增强生成(Retrieval-augmented Generation,RAG)、成本模型构建及成本数据管理等技术,实现了对DWG、PDF、JPEG等多种格式工程图中多类零件的制造成本自动化估算,显著提升了成本估算准确性与效率,为制造业数字化转型提供智能化成本估算解决方案。
