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A Cloud-Fog Enabled and Privacy-Preserving IoT Data Market Platform Based on Blockchain

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 2237-2260页

作者： Yurong Luo Wei You chao shang Xiongpeng Ren Jin Cao Hui Li School of Cyber Engineering State Key Laboratory of Integrated Service NetworkXidian UniversityXi’an710126China

The dynamic landscape of the Internet of Things(IoT)is set to revolutionize the pace of interaction among entities,ushering in a proliferation of applications characterized by heightened quality and *** the pivotal applications within the realm of IoT,as a significant example,the Smart Grid(SG)evolves into intricate networks of energy deployment marked by data *** evolution concurrently entails data interchange with other IoT ***,there are also several challenges including data-sharing overheads and the intricate establishment of trusted centers in the IoT *** this paper,we introduce a hierarchical secure data-sharing platform empowered by cloud-fog ***,we propose a novel non-interactive zero-knowledge proof-based group authentication and key agreement protocol that supports one-to-many sharing sets of IoT data,especially SG *** security formal verification tool shows that the proposed scheme can achieve mutual authentication and secure data sharing while protecting the privacy of data *** with previous IoT data sharing schemes,the proposed scheme has advantages in both computational and transmission efficiency,and has more superiority with the increasing volume of shared data or increasing number of participants.

关键词： IoT data sharing zero-knowledge proof authentication privacy preserving blockchain

Towards Subspace Identification with Time Delays via Parallel Knowledge-Enhanced Bayesian Optimization

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Towards Subspace Identification with Time Delays via Paralle...

A Novel Robust Formulation of Direct Data-Driven Predictive Control

第35届中国过程控制会议

作者： Qingyuan Liu chao shang Dexian Huang Department of Automation Tsinghua University

For decades, subspace identification method(SIM) has been widely adopted for modelling multiple-input multipleoutput(MIMO) processes. However, in face of processes with large time delays, it is necessary to use a high-order state-space model to capture the time-delay behavior, and thus the ordinary SIMs suffer from unsatisfactory modeling accuracy. To overcome this limitation, a viable solution is to consider time delays in state-space model. However, the subspace identification with time delays receives little attention and still remains a challenge. In this work, by exploiting advanced numerical optimization techniques, an efficient method for subspace identification with time delays is proposed, implemented with a novel parallel knowledge-enhanced Bayesian optimization(KeBO) scheme, where a parallel BO structure is designed to address the constraint in optimization problem, and a tailored acquisition function(AF) that enables the exploitation of process knowledge about time delays is adopted. The advantages of the proposed method in the identification of MIMO processes with large time delays are evidenced with numerical case studies.

关键词： Subspace identification Time-delayed systems Bayesian optimization

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A Novel Robust Formulation of Direct Data-Driven Predictive ...

Research and Application of Recycled Concrete Technology in Prefabricated Buildings

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作者： Yibo Wang Ling Wang Dexian Huang chao shang Department of Automation Tsinghua University

Recently, the data-driven predictive control(DDPC) methods have received a growing interest due to their capability to directly obtain control policy from raw data without identifying a parametric model. However, in the presence of noise corruption and disturbance, output predictions in DDPC become less reliable, which may yield unexpected control actions. In this paper,we put forward a novel robust DDPC method by considering uncertainty in the unidentifiable subspace. We first uncover the lack of robustness of previous remedies of DDPC via a min-min viewpoint. Based on this, a min-max optimization problem is proposed, where uncertainty is addressed from a pessimistic perspective to ensure the robustness. A computationally tractable reformulation of the min-max problem is developed. Furthermore, in order to reduce the computational complexity, we propose an efficient preconditioning method. Finally, numerical examples showcase the improved control performance of the proposed robust method over the known regularized formulations.

关键词： Data-driven control Fundamental Lemma Predictive control Robust optimization

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Research and Application of Materials Science 2024年第1期6卷 33-36页

作者： Shanshan DENG Gang SHI chao shang Fuchuan ZHOU Masabo Gasper Masiko M.Kaziana Chongqing Telecommunication Polytechnic College Chongqing402247China Chongqing yuxi water conservancy and electric power survey and design institute CO. LTD.Chongqing402160China Chengde Thermal Power Engineering Installation Co. Ltd.Chengde067000China Chongqing Vocational Institute of Engineering Chongqing402260China Undergraduate Architecture and Civil Engineering Dar es Salaam Institute of Technology{DIT}Dar es Salaam11103Tanzania

The utilization of waste concrete as a raw material for recycled concrete in the domain of prefabricated components is garnering greater *** paper delineates and examines the concept,categorization,methodologies of preparation,applicable sectors,and evaluative metrics of recycled concrete technology,highlighting its prospective ***,for the successful integration of recycled concrete technology into prefabricated component applications,it is imperative to systematically enhance its physical,mechanical,and attributes,as well as its environmental ***,to foster the continued advancement of recycled concrete technology,innovative initiatives,standardization,educational programs,demonstration projects,and collaborative efforts are crucial to promote broader adoption and realize improved outcomes within the realm of prefabricated *** conclusion,recycled concrete technology is poised to play a pivotal role in prefabricated construction,offering robust support for propelling the construction industry towards a sustainable future.

关键词： recycled concrete prefabricated buildings Environmental performance assessment

HPLC法同时测定复方双花片中10个成分的含量

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药物分析杂志 2024年第2期44卷 242-248页

作者：尚朝利白泽方樊轻亚信阳职业技术学院信阳464000

目的:采用高效液相色谱(HPLC)技术,建立同时测定复方双花片中新绿原酸、绿原酸、隐绿原酸、连翘酯苷A、3,4-二-O-咖啡酰奎宁酸、3,5-二-O-咖啡酰奎宁酸、4,5-二-O-咖啡酰奎宁酸、连翘苷、穿心莲内酯和脱水穿心莲内酯10个成分含量的方法... 详细信息

目的:采用高效液相色谱(HPLC)技术,建立同时测定复方双花片中新绿原酸、绿原酸、隐绿原酸、连翘酯苷A、3,4-二-O-咖啡酰奎宁酸、3,5-二-O-咖啡酰奎宁酸、4,5-二-O-咖啡酰奎宁酸、连翘苷、穿心莲内酯和脱水穿心莲内酯10个成分含量的方法。方法:复方双花片样品用50%甲醇水超声提取,采用Agilent Zorbax SB-C_(18)(250 mm×4.6 mm,5μm)色谱柱分析,流动相为乙腈-0.15%磷酸水溶液,梯度洗脱,流速1.0 mL·min^(-1),柱温30℃,进样量10μL,检测波长327 nm(检测新绿原酸、绿原酸、隐绿原酸、连翘酯苷A、3,4-二-O-咖啡酰奎宁酸、3,5-二-O-咖啡酰奎宁酸、4,5-二-O-咖啡酰奎宁酸)和226 nm(检测连翘苷、穿心莲内酯、脱水穿心莲内酯)。结果:新绿原酸、绿原酸、隐绿原酸、连翘酯苷A、3,4-二-O-咖啡酰奎宁酸、3,5-二-O-咖啡酰奎宁酸、4,5-二-O-咖啡酰奎宁酸、连翘苷、穿心莲内酯和脱水穿心莲内酯质量浓度分别在4.071~40.71μg·mL^(-1)(r=0.9999)、20.16~201.6μg·mL^(-1)(r=0.9999)、4.730~47.30μg·mL^(-1)(r=0.9999)、4.536~45.36μg·mL^(-1)(r=0.9998)、1.817~18.17μg·mL^(-1)(r=0.9999)、2.266~22.66μg·mL^(-1)(r=0.9997)、3.321~33.21μg·mL^(-1)(r=0.9999)、3.462~34.62μg·mL^(-1)(r=0.9996)、2.111~21.11μg·mL^(-1)(r=0.9999)和2.290~22.90μg·mL^(-1)(r=0.9997)与峰面积呈良好的线性关系;平均回收率(RSD)(n=6)分别为101.3%(2.1%)、103.0%(1.5%)、100.9%(2.0%)、101.1%(2.0%)、98.4%(1.6%)、102.2%(2.4%)、98.2%(1.3%)、97.8%(2.0%)、99.0%(2.0%)和96.4%(1.1%);4批样品中上述10个成分的含量分别为1.685~2.649 mg·g^(-1)、12.202~13.780 mg·g^(-1)、2.415~2.594 mg·g^(-1)、1.340~1.919 mg·g^(-1)、0.501~0.791 mg·g^(-1)、0.891~1.342 mg·g^(-1)、1.299~2.105 mg·g^(-1)、1.147~1.504 mg·g^(-1)、0.654~0.694 mg·g^(-1)、0.846~1.151 mg·g^(-1)。结论:所建立的方法简单准确,可用于复方双花片的质量控制与评价。

关键词：复方双花片高效液相色谱化学成分含量测定质量控制

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有机液体载氢储运技术研究进展及应用场景

储能科学与技术 2024年第2期13卷 643-651页

作者：邢承治赵明尚超张思婧张自力刘杨中化学建设投资集团科技产业发展有限公司中化学建设投资集团有限公司北京102308

在“双碳”战略目标背景下,氢能产业在深度和广度上都获得了高速发展,上游制氢资源丰富,下游用氢市场广阔,由于跨地区氢能供需失衡,中游氢能储运已经成为氢能产业链的短板,严重制约了氢能产业的进一步发展。在这种情况下,有机液体载氢(L... 详细信息

在“双碳”战略目标背景下,氢能产业在深度和广度上都获得了高速发展,上游制氢资源丰富,下游用氢市场广阔,由于跨地区氢能供需失衡,中游氢能储运已经成为氢能产业链的短板,严重制约了氢能产业的进一步发展。在这种情况下,有机液体载氢(LOHC)储运技术应运而生,以一种化学储氢方式完美克服了高压气态储氢、低温液态及固态等物理储氢方式的缺陷。与其他氢能储运技术相比,LOHC储运技术在安全、成本、技术、效率等方面具有突出的优势,有望补齐氢能储运的短板,完善氢能产业链。本文对三种主要LOHC储运技术,从工艺原理、储氢载体、综合成本、科研发展等方面进行比较分析。认为甲苯、N-乙基咔唑和二苄基甲苯等三种LOHC储运技术已完成了理论研究、实验验证及中试放大等工作,技术趋于完善,具备了工业化推广应用的条件。在未来展望角度上,对包括大型氢能储运基地和分布式脱氢加氢一体化站在内的两种LOHC储运技术的新型应用场景进行了分析,并梳理了目前LOHC储运技术研究面临的问题和研究方向,并提出了希望和建议。

关键词：氢能有机液体载氢(LOHC) 储运应用场景

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饲用桑叶多糖提取工艺优化及其体外抗菌活性研究

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饲料研究 2024年第5期47卷 72-75页

作者：尚朝利白泽方樊轻亚信阳职业技术学院河南信阳464000

试验以饲用桑叶为原料,采用热水浸提法提取多糖。以提高桑叶中多糖提取率为优化目标,采用单因素试验分别研究液料比、提取温度和提取时间对多糖提取率的影响,利用正交分析法优化桑叶多糖提取工艺参数组合,并利用牛津杯法检测桑叶多糖的... 详细信息

试验以饲用桑叶为原料,采用热水浸提法提取多糖。以提高桑叶中多糖提取率为优化目标,采用单因素试验分别研究液料比、提取温度和提取时间对多糖提取率的影响,利用正交分析法优化桑叶多糖提取工艺参数组合,并利用牛津杯法检测桑叶多糖的体外抑菌活性。结果显示,各因素对桑叶多糖提取率的影响排序为提取温度>液料比>提取时间,最优生产工艺参数组合为液料比30 L/g、提取温度90℃、提取时间3 h。在最优工艺条件下,桑叶多糖提取率为6.69%。桑叶多糖对金黄色葡萄球菌和大肠杆菌具有明显的抑制作用,抑菌圈直径分别为9.22、11.74 mm,最低抑菌浓度均为2.0 g/L。研究表明,热水浸提法提取的桑叶多糖可作为功能性饲料添加剂应用于动物养殖。

关键词：饲用桑叶多糖热水浸提法抑菌活性

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大柱距预应力无梁楼盖在多高层冷库中的应用

科学技术创新 2024年第7期 120-123页

作者：王涛尚超徐小龙北京银泰建构科技股份有限公司北京

随着我国冷链物流快速发展,为满足提高冷库库容量及方便库体机械化操作等需求,大柱距预应力无梁楼盖相对传统梁板楼盖,因其综合技术指标优异,结构性能高等特点,在多高层冷库中得到广泛认可和运用。本文选取冷库项目实例,开展结构楼盖设... 详细信息

随着我国冷链物流快速发展,为满足提高冷库库容量及方便库体机械化操作等需求,大柱距预应力无梁楼盖相对传统梁板楼盖,因其综合技术指标优异,结构性能高等特点,在多高层冷库中得到广泛认可和运用。本文选取冷库项目实例,开展结构楼盖设计方案比选,分析比选方案的优缺点,并借助有限分析方法,阐述预应力无梁楼盖设计要点,旨在为冷库设计提供借鉴和参考。

关键词：冷库大柱距预应力无梁楼盖

A review of control loop monitoring and diagnosis:Prospects of controller maintenance in big data era

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Chinese Journal of Chemical Engineering 2016年第8期24卷 952-962页

作者： Xinqing Gao Fan Yang chao shang Dexian Huang Department of Automation Tsinghua University Tsinghua National Laboratory for Information Science and Technology

Owing to wide applications of automatic control systems in the process industries, the impacts of controller performance on industrial processes are becoming increasingly significant. Consequently, controller maintenance is critical to guarantee routine operations of industrial processes. The workflow of controller maintenance generally involves the following steps: monitor operating controller performance and detect performance degradation, diagnose probable root causes of control system malfunctions, and take specific actions to resolve associated problems. In this article, a comprehensive overview of the mainstream of control loop monitoring and diagnosis is provided, and some existing problems are also analyzed and discussed. From the viewpoint of synthesizing abundant information in the context of big data, some prospective ideas and promising methods are outlined to potentially solve problems in industrial applications.

关键词： Control loop performance assessment Industrial alarm system Process knowledge Root cause diagnosis Big data