Integrated classification method of tight sandstone reservoir based on principal component analysise simulated annealing genetic algorithmefuzzy cluster means

In this research,an integrated classification method based on principal component analysis-simulated annealing genetic algorithm-fuzzy cluster means(PCA-SAGA-FCM)was proposed for the unsupervised classification of tight sandstone reservoirs which lack the prior information and core experiments.A variety of evaluation parameters were selected,including lithology characteristic parameters,poro-permeability quality characteristic parameters,engineering quality characteristic parameters,and pore structure characteristic parameters.The PCA was used to reduce the dimension of the evaluation pa-rameters,and the low-dimensional data was used as input.The unsupervised reservoir classification of tight sandstone reservoir was carried out by the SAGA-FCM,the characteristics of reservoir at different categories were analyzed and compared with the lithological profiles.The analysis results of numerical simulation and actual logging data show that:1)compared with FCM algorithm,SAGA-FCM has stronger stability and higher accuracy;2)the proposed method can cluster the reservoir flexibly and effectively according to the degree of membership;3)the results of reservoir integrated classification match well with the lithologic profle,which demonstrates the reliability of the classification method.

基于Blending-Clustering集成学习的大坝变形预测模型

【目的】变形是反映大坝结构性态最直观的效应量,构建科学合理的变形预测模型是保障大坝安全健康运行的重要手段。针对传统大坝变形预测模型预测精度低、误报率高等问题导致的错误报警现象,【方法】选取不同预测模型和聚类算法集成,构建了一种Blending-Clustering集成学习的大坝变形预测模型,该模型以Blending对单一预测模型集成提升预测精度为核心,并通过Clustering聚类优选预测值改善模型稳定性。以新疆某面板堆石坝变形监测数据为实例分析,通过多模型预测性能比较,对所提出模型的预测精度和稳定性进行全面评估。【结果】结果显示:Blending-Clustering模型将预测模型和聚类算法集成,均方根误差(RMSE)和归一化平均百分比误差(nMAPE)明显降低,模型的预测精度得到显著提高;回归相关系数(R~2)得到提升,模型具备更强的拟合能力;在面板堆石坝上22个测点变形数据集上的预测评价指标波动范围更小,模型的泛化性和稳定性得到有效增强。【结论】结果表明:Blending-Clustering集成预测模型对于预测精度、泛化性和稳定性均有明显提升,在实际工程具有一定的应用价值。

Electricity-Carbon Interactive Optimal Dispatch of Multi-Virtual Power Plant Considering Integrated Demand Response

As new power systems and dual carbon policies develop,virtual power plant cluster(VPPC)provides another reliable way to promote the efficient utilization of energy and solve environmental pollution problems.To solve the coordinated optimal operation and low-carbon economic operation problem in multi-virtual power plant,a multi-virtual power plant(VPP)electricity-carbon interaction optimal scheduling model considering integrated demand response(IDR)is proposed.Firstly,a multi-VPP electricity-carbon interaction framework is established.The interaction of electric energy and carbon quotas can realize energy complementarity,reduce energy waste and promote low-carbon operation.Secondly,in order to coordinate the multiple types of energy and load in VPPC to further achieve low-carbon operation,the IDR mechanism based on the user comprehensive satisfaction(UCS)of electricity,heat as well as hydrogen is designed,which can effectively maintain the UCS in the cluster within a relatively high range.Finally,the unit output scheme is formulated to minimize the total cost of VPPC and the model is solved using theCPLEX solver.The simulation results showthat the proposed method effectively promotes the coordinated operation among multi-VPP,increases the consumption rate of renewable energy sources and the economics of VPPC and reduces carbon emissions.

Research and Practice on the Construction of Professional Cluster in Application-Oriented Local Undergraduate Universities:Taking Environ-mental Chemical Engineering Professional Cluster in Pingdingshan University as an Example

Based on the analysis of the importance of professional cluster construction by ecological theory,with the change of social demand for talents,this paper explores the practice of environmental chemical professional cluster construction in Pingdingshan University,including gradually perfecting teaching conditions and reforming teaching mode,breaking through the limitations of resources,integrating the boundaries of colleges and departments,integrating multiple resources,innovating systems and mechanisms,reconstructing professional clusters,decon-structing professional connotations,reorganizing curriculum systems,etc.,in order to better build the ecological chain network of education in application-oriented colleges and universities,realize the deep integration of industry and education,train future-oriented interdisciplinary applied talents of new engineering,and realize the construction of characteristic professional cluster in application-oriented colleges.

Extend OWL: toward a clustering integration of collaborative ontologies and agents

In order to solve the problem of how to collaborate with foreign agents and ontologies, a restricted clustering integration approach is proposed. It differs from the traditional approaches in which web ontology language （OWL） is extended by adding some new collaborative interfaces （ i. e., agent-link and ontology-link） to it instead of owl： import. Syntaxes of the interface for foreign ontologies and foreign agents, respectively, and a meta-method of clustering integrated collaboration are discussed. The approach focuses on taking advantage of OWL itself to solve the collaborative problems, and it is feasible to track the contexts of newadded knowledge concerning ontological collaboration.

Density peaks clustering based integrate framework for multi-document summarization

We present a novel unsupervised integrated score framework to generate generic extractive multi- document summaries by ranking sentences based on dynamic programming （DP） strategy. Considering that cluster-based methods proposed by other researchers tend to ignore informativeness of words when they generate summaries, our proposed framework takes relevance, diversity, informativeness and length constraint of sentences into consideration comprehensively. We apply Density Peaks Clustering （DPC） to get relevance scores and diversity scores of sentences simultaneously. Our framework produces the best performance on DUC2004, 0.396 of ROUGE-1 score, 0.094 of ROUGE-2 score and 0.143 of ROUGE-SU4 which outperforms a series of popular baselines, such as DUC Best, FGB [7], and BSTM [10].

Intelligent Data Pre-processing Model in Integrated Ocean Observing Network System

There are a number of dirty data in observation data set derived from integrated ocean observing network system. Thus, the data must be carefully and reasonably processed before they are used for forecasting or analysis. This paper proposes a data pre-processing model based on intelligent algorithms. Firstly, we introduce the integrated network platform of ocean observation. Next, the preprocessing model of data is presemed, and an imelligent cleaning model of data is proposed. Based on fuzzy clustering, the Kohonen clustering network is improved to fulfill the parallel calculation of fuzzy c-means clustering. The proposed dynamic algorithm can automatically f＇md the new clustering center with the updated sample data. The rapid and dynamic performance of the model makes it suitable for real time calculation, and the efficiency and accuracy of the model is proved by test results through observation data analysis.

Integrity-Management Characteristics and Efficiency Evaluation of Oil and Gas Pipelines

Pipeline integrity is a cornerstone of the operation of many industrial systems, and maintaining pipeline integrity is essential for preventing economic losses and ecological damage caused by oil and gas leaks. Based on integritymanagement data published by the US Pipeline and Hazardous Materials Safety Administration, this study applied the k-means clustering and data envelopment analysis(DEA) methods to both explore the characteristics of pipeline-integrity management and evaluate its efficiency. The k-means clustering algorithm was found to be scientifically valid for classifying pipeline companies as either low-, medium-, or high-difficulty companies according to their integrity-management requirements. Regardless of a pipeline company's classification, equipment failure was found to be the main cause of pipeline failure. In-line inspection corrosion and dent tools were the two most-used tools for pipeline inspection. Among the types of repair, 180-day condition repairs were a key concern for pipeline companies. The results of the DEA analysis indicate that only three out of 34 companies were deemed to be DEA-effective. To improve the effectiveness of pipeline integrity management, we propose targeted directions and scales of improvement for non-DEA-effective companies.

“四链”深度融合下战略性新兴产业高质量发展战略研究

推动创新链、产业链、资金链、人才链深度融合,提升产业创新能力是我国战略性新兴产业迈向全球产业链中高端,实现高质量发展的关键。本文通过系统分析战略性新兴产业高质量发展的本质要求及内涵特征,研判全球战略性新兴产业发展格局变化及趋势,分析我国战略性新兴产业发展现状、问题及挑战,提出“创新驱动、企业主体、开放融合”的战略性新兴产业高质量发展思路和“体系融合、协同发展,自主可控、开放创新,企业主体、市场机制,前瞻布局、高端引领”的发展原则,研究提出各领域重点发展方向及“系统性提升、融合式创新、市场化推动、引领性发展”的发展策略,以期为战略性新兴产业高质量发展提供参考。

数实融合培育和壮大制造业产业集群的理论逻辑与实施路径

数字经济与实体经济融合发展已经成为中国提升产业竞争力的重要手段,在培育和壮大产业集群发展中具有重要的推动作用。本文从农村电商这一数字经济与实体经济融合的典型形式入手,以电商大县山东曹县的服饰产业为例,探究数实融合在培育和壮大制造业产业集群中的理论逻辑和实施路径,为深化数实融合促进产业集群发展提供新思路。数实融合带来的销售模式创新促使销售实体的市场容量跃升,为产业集聚发展提供动力支撑;数实融合改善制造业产业集群内部的资源配置水平和创新能力,线上集聚极大突破产业集群区域的发展资源禀赋限制,进而提升产业集群的竞争力水平。推动电商高质量发展、加强数字基础设施建设、推进生产企业的数字化转型和引导产业线上集聚,是以数实融合推动制造业集群发展的重要路径。

产教融合背景下基于专业群需求的公共英语“三教”改革路径——以市场营销专业群为例

产教融合是当前职业教育发展的重要趋势,专业群需求成为引领公共英语教学改革的关键因素。目前市场营销专业群的公共英语教学存在师资力量薄弱,“双师”素质有待提高;教材形式单一,内容脱离专业;教学方法单一等问题。打造基于专业群需求的“双师型”公共英语教师队伍;构建基于专业群需求的立体化、多元化新形态教材;应用多元教学方法,创新教学模式,可以提升教学质量,增强学生英语语言应用能力,提高学生的综合素养,培养更多适应产教融合时代需求的高质量技术技能型人才。

山西省果业集群布局与果旅融合发展水平研究

果旅融合是乡村文旅发展的重要内容,也是山西省果树种植区实现乡村振兴和共同富裕的重要路径。文章通过分析山西省26个果业集群县果园种植面积、产量及布局特征,发现山西省果业集群区分布于盆地和丘陵地带,形成以运城市临猗县为高密度核心区,运城市为主产区,以山西省低海拔南北生态廊道为轴线,晋中市为低密度核心区,长治市、大同市、临汾市为辐射区的果业规模化生产格局。在分析果旅产业融合现状的基础上,利用区位商、熵权法、耦合协调度、灰色关联法对果业和旅游业融合发展水平进行评价,发现果旅融合尚处于萌芽阶段,果旅之间联系不紧密,从而得出山西省果业集群区果旅产业融合发展趋势。基于以上研究结果,有针对性地提出建议,为优化山西省果旅融合路径献计献策。

高精度视觉感应技术在水肥一体机中的应用

以农田水肥智能化管理为研究对象,构建了一种高精度视觉感应式水肥一体机。采用高精度视觉感应技术获取作物生长状态参数图像,基于超像素图像分割技术,对复杂的作物生长状态图像特征向量进行提取,采用模糊聚类算法对图像进行分割处理,根据目标图像的像素值统计结果进行生长状态预测,并结合环境参数信息,构建灌溉过程土壤电导率EC和pH预测模型。测试结果表明:水肥一体机控制系统能够有效预测作物对水肥需求,提高了灌溉过程混肥精度,可节约灌溉用水量、提升生产效率、降低人工成本。

集成电路产业集群韧性测度及影响因素研究

培育世界级先进制造业集群,是新时代国家实施制造强国战略的一项重要举措,也是提升产业链供应链韧性和安全水平的有效途径。以南京江北新区集成电路产业集群为研究对象,通过文献梳理,分析产业集群韧性的影响因素,并从抵抗力、恢复力、复原力、再生力等4个维度建立集群韧性评价指标体系。研究发现:龙头企业、公共政策、创新网络和市场等对集成电路产业集群韧性具有显著正向影响;而企业联动不具有显著影响。因此,培优扶强龙头企业、完善相关产业政策、打造产学研用联盟和培育集群市场竞争力是集成电路产业集群提升韧性的重要途径。

计及P2G的综合能源系统CCUS容量规划

考虑到碳捕集利用与封存(CCUS)是对电转气(P2G)过程中二氧化碳(CO_(2))来源的细化,文中提出对综合能源系统(IES)进行电-氢-氧-甲烷-二氧化碳和虚拟二氧化碳等P2G过程的定性定量建模,以及对风-光-电动汽车-负荷等随机源荷进行时空聚类以深度挖掘IES氢源碳源潜力的CCUS设备容量规划模型。以阶梯正负碳交易、弃风弃光惩罚和年设备投资成本等的年综合成本最低为目标,以碳捕集、碳存储和甲烷化等CCUS设备功率容量限值为全局变量对电气平衡和能量耦合进行二次约束,经过混合整数线性化处理后利用Cplex求解。算例分析表明,源荷时空聚类可在典型日场景缩减时保留IES廉价碳源氢源特征,合理规划后的CCUS设备可兼具弃风消纳和碳减排功能,使P2G制取的天然气更具市场竞争力。

高职“岗课赛证创”五位一体人才培养模式研究

中国职业教育进入高质量发展的新阶段,但是高职院校电子商务专业群人才培养中仍存在“目标定位不精准、动手能力较差、创新能力不足”等问题。本文阐释了“岗课赛证创”五位一体人才培养模式的内涵,并从真实岗位、课程体系、大赛竞赛、职业证书、双创思维等五方面探索基于“岗课赛证创”五位一体人才培养模式的构建。最后从强化“双师双能型”队伍,更新课程内容,构建产教融合平台,提升专业群内涵,实施以证代考,以赛促学促教等方面提出优化实践路径,以期提高高职院校人才培养质量。

高等职业教育与区域产业集群融合发展:内在关系、生成逻辑和推进路径

服务国家与区域经济社会发展是新时代中国特色高等职业教育的重要内涵和要求。区域高等职业教育承担着服务区域经济和产业发展的重要职责,紧密对接区域产业集群,将促进人才培养与地方经济发展的双赢局面。文章在分析高等职业教育与区域产业集群融合发展的内在关系和生成逻辑的基础上,提出实现两者融合的推进路径。

筑牢以制造业为核心的实体经济:基础条件与关键突破

制造业高质量发展是建设社会主义现代化强国和发展壮大实体经济的有力支撑。党的十八大以来,我国工业体系日益完善,制造业经营主体不断壮大,高端化智能化绿色化步伐加快,新制造业领域异军突起,先进制造业产业集群不断壮大,制造业综合实力和国际竞争力持续增强,已成为实体经济发展壮大的坚强支撑。推动制造业高质量发展,筑牢实体经济的根基,需要全方位发力,但又要有重点突破,这就是融合化和数字化。数字技术的广泛运用正在助力制造业和服务业的深度融合,并以此拓展以制造业为核心支撑的实体经济发展新空间。基于强大的数字赋能,我国制造业迎来了发展新机遇。未来,要以创新驱动培育制造业新质生产力,以新型基础设施建设助力制造业企业转型升级,以智能制造增强制造业核心竞争力,以数实融合重塑产业集聚模式,全力培育和壮大先进制造业集群,由此推进制造业高质量发展和实体经济强筋壮骨。

互联网基础设施连通与城市群一体化

构建基于二元“城市对”的空间尺度,利用“宽带中国”政策冲击,实证检验互联网基础设施连通对城市群市场一体化的影响效应。研究表明:互联网基础设施连通能有效提高城市群内部的市场一体化水平,这种市场一体化效应主要通过缓解行政分割来实现。然而,不同城市群间的地方政府缺乏制度化的协作关系,相互合作的内生动力不足,导致了城市群之间存在政绩障碍和产业功能障碍。这些障碍限制了互联网基础设施对跨城市群市场整合的作用。研究结论有助于理解互联网基础设施对城市群一体化的复杂影响,对促进全国统一大市场建设以及探索数字经济下区域发展新模式具有重要意义。

基于适应性循环理论的集成电路产业集群韧性:演化逻辑与提升路径

培育具备强大韧性的集群生态圈是推动集成电路产业集群高质量发展的关键问题。将产业集群视为一个动态系统,从理论上探讨集群韧性的演化逻辑和提升路径。在适应性循环理论视角下,韧性系统具备随情境而动态平衡的稳定性与复杂性,以及内部主体的弱网络关联性。突发事件冲击下,产业集群在“冲击吸收-冲击适应-恢复更新-再组织”四阶段具有复杂韧性演化逻辑。当前,集成电路产业集群面临人才紧缺、技术封锁、超长链条、产业体系依赖等困境,应遵循阶段演化的复杂逻辑,以培育自主可控的产业韧性系统为目标导向,塑造“抵抗-适应-恢复-再组织”的韧性能力,以实现集群韧性水平的螺旋式上升。