Multiproduct and multistage integrated production planning model and algorithm based on an available production capacity network

This research attempts to devise a multistage and multiproduct short-term integrative production plan that can dynamically change based on the order priority and virtual occupancy for application in steel plants. Considering factors such as the delivery time, varietal compatibility between different products, production capacity of variety per hour, minimum or maximum batch size, and transfer time, we propose an available production capacity network with varietal compatibility and virtual occupancy for enhancing production plan implementation and quick adjustment in the case of dynamic production changes. Here available means the remaining production capacity after virtual occupancy.To quickly build an available production capacity network and increase the speed of algorithm solving, constraint selection and cutting methods with order priority were used for model solving. Finally, the genetic algorithm improved with local search was used to optimize the proposed production plan and significantly reduce the order delay rate. The validity of the proposed model and algorithm was numerically verified by simulating actual production practices. The simulation results demonstrate that the model and improved algorithm result in an effective production plan.

An iterative approach to an integrated land use and transportation planning tool for small urban areas

There has been increasing interests in developing land use models for small urban areas for various planning applications such as air quality conformity analysis. The output of a land use model can serve as a major input to a transportation model; conversely, transportation model output can provide a critical input to a land use model. The connection between the two models can be achieved by an accessibility measure. This paper presents an iterative approach to solving a regression-based land use model and a transportation model with combined trip distribution- assignment. A case study using data from a small urban area is presented to illustrate the application of the proposed modeling framework. Tests show that the procedures can converge, and the modeling framework can be a valuable tool for planners and decision-makers in evaluating land use policies and transportation investment strategies.

Feature Based Machining Process Planning Modeling and Integration for Life Cycle Engineering

Machining process data is the core of computer aided process planning application systems.It is also provides essen- tial content for product life cycle engineering.The character of CAPP that supports product LCE and virtual manufacturing is an- alyzed.The structure and content of machining process data concerning green manufacturing is also examined.A logic model of Machining Process Data has been built based on an object oriented approach,using UML technology and a physical model of machin- ing process data that utilizes XML technology.To realize the integration of design and process,an approach based on graph-based volume decomposition was apposed.Instead,to solve the problem of generation in the machining process,case-based reasoning and rule-based reasoning have been applied synthetically.Finally,the integration framework and interface that deal with the CAPP integration with CAD,CAM,PDM,and ERP are discussed.

Remote Operation SW for USV: Part I. Integrated Mission Planning System

The integrated Mission Planning System?(MPS) of Unmanned Surface Vehicle?(USV) refers to the process which can recognize, decide, plan situations and carry out missions, such as human beings, for all incidental or complex events occurring at sea. In the actual operating environment, it is necessary to develop a simulation software environment and analyze, verify it in advance so as to make an appropriate mission plan considering equipment, sensor, fuel, and other available resources. The existing USV mission planning process methodology has several limitations in the analysis of USV missions because the scenario to be tested is limited and autonomy of USV is not considered sufficiently. To overcome these problems, we constructed a process that considers various missions and is more autonomous, and an integrated environment in which to experiment. In this study, we designed a multi-agent based USV Integrated Mission Planning System and modeled each component. In addition, we constructed the USV remote operation S/W based on M&S that user can experiment with the modeled process and verified the usefulness of the developed system through simulations.

Urban Air Quality Plans and Integrated Assessment Methodologies

The air quality directive （2008/50/EC （of the European Parliament and of the Council of 21 May 2008）） requires European Member States to design appropriate AQPs （air quality plans） for zones and agglomerations where the air quality does not comply with the limit values and to assess possible emission reduction measures to decrease concentration levels. The Portuguese agglomeration of Porto Litoral is one of the several European Union urban areas that had to develop and implement AQPs to reduce particulate matter （PM10）. The AQPs were initially designed based on a scenario approach and using an air quality model, which was applied over the study region for the reference situation with the current PM10 emissions, and for a reduction scenario with PM10 emissions re-estimated considering the implementation of abatement measures. Aiming to cost-efficiently optimize Porto Litoral PM10 abatement measures, the assessment procedure was repeated using an optimization approach based on the RIAT ＋ （regional integrated assessment tool ＋）. Porto Litoral urban area＇s technical and non-technical measures were characterized （including associated costs） and, through the application of the air quality model to 20 emissions abatement scenarios, S-R （source-receptor） relationships were created. This paper comparatively describes the air quality plans designed to improve PM10 levels in the Porto Litoral agglomeration based on both the scenario analysis and the optimization approach.

Cyber-physical Integrated Planning of Distribution Networks Considering Spatial-temporal Flexible Resources

The rapid development of cyber technology and the increase of flexible resources have transformed the distribution network into a cyber-physical distribution system,while the accompanying multidimensional uncertainties have brought new planning challenges.In this paper,an innovative approach is proposed to effectively leverage distributed resources while considering the impact of cyber-physical coupling in distribution network planning.A cyber-physical integrated planning model of the distribution network is proposed,considering the effects of spatial-temporal flexible resources and multi-network coupling.Specifically,a three-layer optimization model is established and analyzed by the simulate anneal-particle swarm optimization algorithm.The upper layer achieves the optimization of the location and configuration of energy storage systems and smart terminal units.The middle layer optimizes the data load migration strategy using spatial-temporal flexible resources to solve the voltage exceeding problem caused by high penetration of distributed power access,while the lower layer optimizes the cyber side communication topology,improving the convergence speed and control performance of the distribution network.Then,the optimization model is analyzed iteratively with objective functions including total planning cost,operation excess loss and distributed control performance.Finally,the effectiveness and economy of the proposed planning scheme is verified and compared to traditional methods.

Prospects of key technologies of integrated energy systems for rural electrification in China

Owing to increasing environmental concerns and resource scarcity, integrated energy system shave become widely used in communities. Rural energy systems, as one of the important links of the energy network in China, suffer from low energy efficiency and weak infrastructure. Therefore, it is particularly important to increase the proportion of electricity consumption and build an integrated energy system for rural electrification in China(IESREIC) with a rural distribution network as the core, in line with national conditions. In this study, by analyzing the Chinese regional differences and natural resource endowments, the development characteristics of the IESREIC are summarized. Then, according to the existing rural energy problems, key technologies are proposed for the IESREIC, such as those for planning and operation, value sharing, infrastructure, and a management and control platform. Finally, IESREIC demonstration projects and business models are introduced for agricultural production, rural industrial systems, and rural life. The purpose is to propose research concepts for the IESREIC, provide suggestions for the development of rural energy, and provide a reference for the construction of rural energy systems in countries with characteristics similar to those of China.

多约束条件下四旋翼机动轨迹跟踪一体化控制方法

四旋翼无人机高动态飞行需求的增加使其成为一个越来越热门的研究主题。针对四旋翼执行废墟裂缝和树林缝隙穿越任务时的大机动轨迹状态跟踪控制问题,提出基于模型预测控制的一体化控制方法,包含多约束条件下的高机动轨迹规划和多参考状态量的一体化跟踪控制,并通过飞行试验验证了所提方法相比前馈PID控制方法在跟踪规划的高机动轨迹时的优越性能。在飞行试验中,四旋翼成功穿越了60°滚转角的窄框,其实际滚转角达到60°大角度的同时,z轴误差仅为0.065 m。

城市规划健康影响评估理论框架构建

健康影响评估为预测城市发展、城市规划方案和项目的健康效益提供框架,但在融入我国城市规划中仍面临内容体系不清、技术流程不明、模型体系未建立和工作方法缺失等问题。本文构建了城市规划健康影响评估理论框架,系统性地明确了面向城市规划的健康影响评估内容体系、技术流程、模型体系和工作方法。面向城市规划的健康影响评估可从“健康风险控制影响评估”“健康资源支撑保障评估”和“健康行为促进效益评估”3个方面开展;主要技术流程包括参照对象确定、评估范围界定、评估框架构建、评估方法选取和评估开展5个步骤;模型体系由核心模型、相关模型和外围模型构成;最后,规划编制团队与健康影响评估团队可协作推进健康影响评估“全过程”融入规划。本文可为面向城市规划开展健康影响评估提供基本的理论、方法和机制指导。

基于区间理论的油田综合能源系统优化规划

针对油田的能源结构和用能负荷的特征,构建了油田综合能源系统架构;考虑可再生能源出力的不确定性和油田多元负荷用能的随机性,建立了光伏、光热出力的区间模型,热负荷区间模型和基于价格型响应的电负荷区间模型;通过分析设备投资成本的时间价值和区域碳中和途径,建立一种计及源荷不确定性的综合能源系统规划模型,并结合仿射算法和区间序关系,将不确定性优化问题转化为确定性的多目标优化问题进行求解。算例分析表明,油田综合能源系统架构符合油田能源禀赋和负荷实际耦合情况,设备配置方案投资回收年限短,不确定性权重系数越高,投资越大,年净收益区间越大,结果验证了规划方法的有效性。与传统鲁棒凸规划优化方法相比,所提方法为决策者提供了满足区间约束的解集,避免了规划方案的保守性。

响应规划体系变革的“理工融合型”规划创新人才培养模式

国土空间规划体系重构背景下对规划类人才培养提出新要求,人才培养模式创新亟需探索。该研究基于我国人文地理与城乡规划专业发展与研究现状,针对人才培养理念与新工科人才培养要求不协调、传统专业能力培养体系与智能时代技术发展需求不协调和传统课程体系与国土空间规划综合创新性需求不协调等现实挑战,结合湖南师范大学的具体实践,提出以“学生中心,理工融合”为核心建设理念,围绕“专业素质+专业知识+专业技能”三大能力构建目标,通过课程模块融合化、能力培养层级化、产学研赛一体化,校社政企协同化途径,着力在课程体系、能力培养体系、教学路径和培养建构环境等方面进行改革和创新,构建“1344”响应规划体系变革的“理工融合型”规划创新人才培养模式。

高职院校分层创业教育体系研究——基于TPB和教学方法-教学影响综合模型

文章基于计划行为理论,结合教学方法与教学影响,提出高职院校创业教育课程体系建设,必须根据学生的背景特点进行分层教育、专创融合,采用行为主义和体验式教学方法,着重培养机会型创业人才,将教学计划内外的教育行为,都纳入创业教育课程体系的“广义课程”,为大学生设定“创业遗传代码”,促进新创企业的产生,从而服务于国家社会的经济增长。

基于鲁棒增广e约束法的综合能源系统多目标多阶段供能优化配置方法

综合能源园区供能优化配置是实践现代能源体系建设、实现能源高效清洁利用的重要技术手段,然而现有规划配置方法存在多能耦合转换模型各异、忽视建设时序性与缺乏多维目标选优上的不足。为此,该文建立综合能源系统多目标多阶段供能优化配置模型,该模型为一个多目标混合整数线性优化问题。为实现多目标问题的高效求解,提出了基于鲁棒增广e约束法(robust augmented e-constraint method,AUGMECON-R)的Pareto解集求解方法,并结合综合权重与逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS),选取最契合园区多维评价偏好的建设方案。通过算例仿真验证了所提模型和算法的有效性,该模型能适用于各地各类型园区的供能优化配置决策。

基于图论的区域综合能源服务商交易路径优化

随着电力体制改革的不断推进,区域能源服务商数量不断增加,电网结构日益复杂,购、售电交易双方之间的可选路径增多。在此背景下,提出了区域能源服务商交易路径两步选择法。首先基于p-中位模型的区域能源服务商交易路径第1步优化选择,考虑综合建设运行成本、能源站与负荷中心的最短路径距离、用户负荷需求三方因素,构建多目标优化模型,作用于区域综合能源服务商的站址规划;然后,基于OD矩阵和双约束重力模型提出了区域能源服务商交易路径第2步优化选择,以电能传输量最大和区域能源服务商日运营利润最大为目标函数,作用于多个区域能源服务商之间的能源传输路径选择。采用枚举法和Dijkstra算法对所建模型进行求解并通过算例仿真证明该模型能够有效降低网络损耗成本,减少弃风弃光量,提高区域能源服务商的运营利润。

国土空间规划“新质人才”培养的科教创新综合体模式研究

研究目的:梳理数字生态文明时代国土空间规划人才培养的需求,结合国际经验、历史演进和现状特征,提出未来国土空间规划“新质人才”培养的主要思路和实现路径,以期为新质生产力时期国土空间规划人才培养提供理论支撑与实践参考。研究方法:文献理论研究法和系统实践分析法。研究结果:(1)数字生态文明背景下的国土空间规划亟需构建目标重塑、内容重构、模式重建的学科体系以及知识整合、通专融合、理践结合的人才培养体系;(2)当前国际规划学科体系与人才培养具有学科交叉、注重实践、满足社会、体系贯通、错位发展等特点;(3)我国规划学科先后经历古代规划知识延续与传承、近代规划理论引入与消化、现代规划学科雏形与形成、现代规划学科发展与成熟、现代规划学科转型与创新5个阶段。研究结论:(1)科教创新综合体人才培养模式遵循紧密植入型生态文明的现实逻辑、高度协调型空间治理的支撑逻辑、深度融合型精神传承的历史逻辑、系统耦合型人地关系的底层逻辑、持续颠覆型技术变革的发展逻辑5大学理逻辑;(2)科教创新综合体人才培养模式具有以深度协作为突出特征的专业融合、以优势互补为突出特征的校际融合、以双向奔赴为突出特征的城教融合、以需求导向为突出特征的产教融合、以创新赋能为突出特征的科教融合5大本质特征;(3)基于“战略引领、学科交叉、资源协同、机制创新”提出了国土空间规划“新质人才”培养的科教创新综合体模式的具体实施路径。

高光伏渗透下考虑源荷不确定性的含分布式储能的综合能源系统规划

随着光伏接入配电网的渗透率越来越高,传统的综合能源系统规划方法由于忽略对光伏和负荷不确定性考虑以及本身方法的问题,难以充分发挥综合能源系统优势应对高光伏渗透率配电网。为此,在高光伏渗透配电网的基础上,考虑光伏和负荷不确定因素的影响,从配电网和用户两个层面,构建了一种考虑光伏和负荷不确定性的综合能源系统两阶段规划模型。第一阶段模型是以综合能源系统并网的最小数量为目标函数确定综合能源系统最佳并网位置和数量;第二阶段模型是在第一阶段的基础上以综合能源系统自适应鲁棒经济调度成本为目标函数确定综合能源系统并网的最佳容量;运用灰狼优化算法完成两阶段规划模型求解,确定综合能源系统最佳的并网位置和并网容量。通过算例仿真验证所提综合能源系统规划模型的有效性。

电热氢综合能源系统建模及容量规划研究

在“双碳”目标下,电热氢综合能源系统的应用将成为能源高效利用、多能耦合发展以及清洁低碳转型的重点战略方向。结合当前电热氢综合能源系统的国内外研究现状,首先对系统建模部分进了归纳与总结,并建立了考虑系统电热特性、自身寿命衰减特性等特点的各设备数学模型,为后续相关方向的深入研究提供一定的参考。其次,对电热氢综合能源系统的容量规划问题展开研究,并分别从系统运行策略、目标函数与求解以及当前存在问题与创新方面展开详细分析。最后,对电热氢综合能源系统的未来创新与发展进行了展望。

乡村振兴战略背景下城乡规划专业人文地理学教育研究

随着社会经济发展,城乡差距扩大,乡村面临多方面问题.且乡村振兴战略的推进更加凸显城乡规划专业人才的作用.人文地理学教育作为城乡规划专业教学的重要组成部分,具有独特的价值和意义,可为城乡规划专业在乡村振兴方面的教学提供新的视角和方法.本文认为,可通过课程设置融合、实践教学融合、学科交叉融合、社区参与融合和政策研究融合等模式,实现在城乡规划教学中人文地理学教育与乡村振兴战略的结合.最后,论文分析了城乡规划专业中融合人文地理学教育与乡村振兴战略面临的诸多挑战,并从教育内容与课程设置、实践经验与实地考察、融合思维与综合能力培养、跨学科合作等视角提出了对策建议,以期增强学生对国家战略的理解与认同,培养家国情怀和社会责任感,提升综合素质和实践能力.

中国电动汽车发展及车网互动对新型储能配置的影响

电力系统新型储能发展预期高,但存在与其他灵活调节资源统筹考虑不足的问题。随着电动汽车持续快速发展,未来电动汽车车网互动必将影响新型储能需求,新型储能规划必须与电动汽车发展统筹考虑。通过分析影响电动汽车发展与车网互动调节能力的关键因素,研判中国电动汽车的发展规模,结合电动汽车用能习惯与电力系统调节需求,构建了中国电动汽车灵活性潜力研究模型,并从系统全局优化角度,评估车网互动灵活调节能力,分析了对中国及其7个区域新型储能配置的影响。

Planning Method and Coordinated Operation Strategy for Multi-station Integration System

A multi-station integration system(MSIS)integrat-ing other multi-type stations provides a new way to realize an intensive development of resources and promote low-carbon en-ergy and its high-efficiency utilization.To this end,a novel multi-station integration planning method and coordinated operation strategy model for the MSIS are established in a new business model.In this study,a new business model of the MSIS,with substations as the carrier,integrating distributed photovoltaic,energy storage,electric vehicle charging,data center,and 5G base stations is proposed.From the social environment,natural conditions,and complementary characteristics,a comprehensive index system is established to analyze expansion capability of substations and multi-station combination scheme.Scenario reduction is performed by extracting feature vectors and build-ing a comprehensive evaluation function to select the optimal combination scheme under a specific scenario.Moreover,for the combination scheme in a specific scenario,the optimal ca-pacity configuration and coordinated operation strategy chance-constrained programming model of the MSIS are established under different operating conditions.Finally,simulations are performed on a practical MSIS located in Wuxi,China,and simulation results demonstrate the rationality and effectiveness of the planning method and coordinated operation strategy model for the MSIS.