Prediction maintenance integrated decision-making approach supported by digital twin-driven cooperative awareness and interconnection framework

Predictive maintenance is one of the important technical means to guarantee and improve the normal industrial production. The existing bottlenecks for popularization and application are analyzed. In order to solve these problems, a cooperative awareness and interconnection framework across multiple organizations for total factors that affect prediction maintenance decision-making is discussed. Initially, the structure and operation mechanism of this framework are proposed. It is designed to support the sharing of data, knowledge and resources. As a key supporting technology, the digital twin is also integrated into it to improve the accuracy of fault diagnosis and prediction and support making a maintenance plan with higher accuracy and reliability. Then, under this framework, an integrated mathematical programming model is established with considering the parameter uncertainty and an NSGA-II hybrid algorithm is utilized to solve it. Moreover, an adjustment strategy for a maintenance plan is discussed in response to the dynamic characteristics of the actual maintenance environment. Finally, a case, prediction maintenance decision-making for bearings in grinding rolls of the large vertical mill, is studied. Analysis results verify the advantage of the integrated solving mechanism based on the proposed framework. The framework and integrated decision-making approach can guide the implementation of predictive maintenance with higher accuracy and reliability for industrial enterprises.     

Modeling,design, and optimization of a cost‐effective and reliable hybrid renewable energy system integrated with desalination using the division algorithm

People in the Middle East are facing the problem of freshwater shortages. This problem is more intense for a remote region, which has no access to the power grid. The use of seawater desalination technology integrated with the generated energy unit by renewable energy sources could help overcome this problem. In this study, we refer a seawater reverse osmosis desalination (SWROD) plant with a capacity of 1.5 m³/h used on Larak Island, Iran. Moreover, for producing fresh water and meet the load demand of the SWROD plant, three different stand‐alone hybrid renewable energy systems (SAHRES), namely wind turbine (WT)/photovoltaic (PV)/battery bank storage (BBS), PV/BBS, and WT/BBS are modeled and investigated. The optimization problem was coded in MATLAB software. Furthermore, the optimized results were obtained by the division algorithm (DA). The DA has been developed to solve the sizing problem of three SAHRES configurations by considering the object function's constraints. These results show that this improved algorithm has been simpler, more precise, faster, and more flexible than a genetic algorithm (GA) in solving problems. Moreover, the minimum total life cycle cost (TLCC = 243 763$), with minimum loss of power supply probability (LPSP = 0%) and maximum reliability, was related to the WT/PV/BBS configuration. WT/PV/BBS is also the best configuration to use less battery as a backup unit (69 units). The batteries in this configuration have a longer life cycle (maximum average of annual battery charge level) than two other configurations (93.86%). Moreover, the optimized results have shown that utilizing the configuration of WT/PV/BBS could lead to attaining a cost‐effective and green (without environmental pollution) SAHRES, with high reliability for remote areas, with appropriate potential of wind and solar irradiance.     

一种交直流混合输电系统直流侧双极故障保护策略

为进一步分析含柔性直流输电(MMC-HVDC)的交直流混合输电系统的故障特征,基于交直流混合输电系统和模块化多电平换流器(MMC)的拓扑结构,推导了MMC的数学模型,研究了直流系统双极短路的故障机理和故障特征,针对含MMC-HVDC的交直流混合输电系统的双极短路故障,设计了限流电路及闭锁换流站与交流断路器跳闸相结合的故障保护方案。以厦门市柔性直流输电系统为例,在PSCAD/EMTDC中搭建了交直流混合系统,并对保护方案进行了仿真验证。结果表明,提出的保护策略能有效地降低故障电流,提高系统稳定性。     

河津腾晖煤业生产监控与调度信息集成系统的实践

以河津腾晖煤业公司为例,设计了煤矿生产监控与调度信息集成系统,并进行了实践应用。该集成系统建立了容纳众多异构监控系统的数据中心,使煤矿生产过程自动化监控系统之间、数字监控与视频监控系统之间、自动化系统与调度信息化之间的数字鸿沟消隐于无形。该系统可以使各监控系统之间的信息资源共享,监控系统之间可以实现联动,进而实现异地远程集中再控制。     

Stagnation flow of hybrid nanoparticles with MHD and slip effects

The flow of hybrid nanoparticles with significant physical parameters with different base fluids in the presence of Biot number, velocity slip, and MHD effects has not been explored so far, particularly for a circular cylinder. Therefore, the current report is presented to offer a numerical solution for hybrid nanoparticles with base fluids (water and ethylene glycerol) via a circular cylinder. The physical situation is interpreted in terms of partial differential equations and is converted into ordinary differential equations after applying the similarity transformation. The results are presented in both tabular and graphical forms. The impact of physical parameters on velocity distribution is examined through graphs. The comparative results of hybrid nanoparticles for distinct base fluids as ethylene glycol and water are proposed and the hybrid nanoparticles with base fluid water seems to be greater than that of the hybrid nanoparticles with base fluid EG. The temperature profile of hybrid nanoparticles is found to be a decreasing function with growth in velocity slip parameter but an opposite trend is noted in case of nanoparticles . The skin friction and Nusselt number augmented for the increase in magnetic field, velocity slip, and nanoparticle while it shows a decreasing trend toward thermal slip parameter. For the both cases, improvement in Biot number helps enhance the heat transfer constantly.     

新型复合式内部能量集成的精馏塔的机械设计与水力学模拟

基于HIDiC的理论和Aspen 模拟的结果，建立了新型内部能量集成的精馏塔的塔节结构，对筛孔式结构的复合HIDiC塔节做了CFD模拟，探索了不同参数下的水力学性能，优化了新型复合塔节的结构。结果表明：对于筛孔式复合塔节，减小塔板孔径，降低出口堰高有利于提高传质和传热效果。利用SolidWorks软件针对温度与压力下的双重效应做了静应力分析，通过HIDiC理论，模型构建，水力学模拟相互验证，将HIDiC逐板换热的理论与实际模型完美结合。     

基于迁移学习的有机硅单体分馏过程能耗建模

有机硅单体分馏过程需分离的物质多且分离技术要求高，是有机硅单体生产过程中能耗较高的单元之一。能耗模型的建立对分馏过程的生产优化有着重要的意义。虽然分馏过程中各提纯单元的塔器设备型号、操作条件存在差异，但由于各提纯单元存在相似性，如何充分利用这些相似性进行能耗建模，从而减少建模过程中对数据量、质的要求是要解决的问题。通过引入迁移学习算法，增大源单元和目标单元数据域的相似性，实现不同数据域的知识传递，充分利用现有数据中包含的知识，建立新的能耗模型。以某有机硅企业采集的现场数据进行算法验证，结果显示，当训练样本量不足时，迁移学习可以有效提升模型性能，从而验证了该算法的有效性与实际应用价值。     

Supramolecular Architectures of Nucleic Acid/Peptide Hybrids

Supramolecular architectures that are built artificially from biomolecules, such as nucleic acids or peptides, with structural hierarchical orders ranging from the molecular to nano-scales have attracted increased attention in molecular science research fields. The engineering of nanostructures with such biomolecule-based supramolecular architectures could offer an opportunity for the development of biocompatible supramolecular (nano)materials. In this review, we highlighted a variety of supramolecular architectures that were assembled from both nucleic acids and peptides through the non-covalent interactions between them or the covalently conjugated molecular hybrids between them.     

耦合膜分离的新型CO2低温捕集系统性能优化

CO₂捕集作为温室气体排放控制的有效手段已成为重要研究课题。作为新兴捕集技术之一，低温CO₂捕集因产品纯度高、无附加污染等优势受到关注。然而，该技术能耗和捕集率对于气体中CO₂浓度十分敏感，对于高CO₂浓度气体可获得较高的CO₂捕集率和较低能耗水平。基于此，本文提出了耦合膜分离的新型CO₂低温捕集系统，通过膜材料选择渗透性实现待捕集气体CO₂浓度主动调控，并在最优浓度下进行CO₂低温捕集。首先基于不同传统低温捕集系统特点，对比分析了不同耦合系统模式，从而确定了最优耦合系统结构。针对最优耦合系统进行了运行参数优化，并分别基于实现系统捕集能耗最低与捕集率最高的目标，获得了膜渗透侧CO₂浓度与进气CO₂浓度间的关系式，为该耦合系统中膜组件选型提供指导。研究表明，本文提出的耦合系统捕集能耗为1.92MJ/kgCO₂，相比于传统单一低温系统捕集能耗可降低16.5%。     

重要厂用水系统设计水温对冷链换热器热工设计的影响分析

核电厂重要厂用水系统设计水温（TSEC）是影响冷链换热器热工设计的重要参数，随着TSEC的增大，冷链换热器的热工设计工况趋于恶劣，导致换热面积和设备尺寸逐渐增大。本文以冷链换热器的典型热工设计工况为设计输入，针对不同的TSEC，采用热混合设计方法，得到了对应TSEC下的冷链换热器板片方案。分析了冷链换热器总通道数量、流道占比、总传热系数随TSEC的变化情况，发现对于特定的热工设计工况，冷链换热器只能在一定的TSEC范围内实现压降和换热裕量的完全匹配，且存在一个临界温度，当TSEC高于该温度后，板片数量会迅速增大，应尽量避免TSEC高于该临界温度。