复杂系统视角下数字领域“smart”概念的国际标准化共识构建及应用

进入数字时代,伴随大数据和人工智能技术快速发展和普遍应用,带有“smart”的指称不断涌现,然而关于“smart”概念的认知尚缺少跨领域和跨国际标准组织的标准化共识构建研究。采用ISO 704:2022的概念构建原则和方法,基于复杂系统论视角,对数字领域国际标准定义中涉及“smart”的概念特征进行了识别。基于跨领域国际标准组织专家的研讨、问卷调查和国际共识构建,提出了适应于复杂系统数字领域“smart”的通用概念,并将其用于指导《智慧城市城市智能服务体系构建指南》国家标准的制定过程。该研究对推进国家标准和国际标准兼容具有重要战略意义。

Organic Combination of Smart Agriculture and Farming-reading Education : Research on Talent Training Model in the New Agricultural Science

By analyzing the complementarity between smart agriculture and farming-reading education,and the advantages of organic combination of the two:addressing the challenges of agricultural modernization and cultivating new talents;enhancing students interest in learning and improving their sense of responsibility and mission;promoting the inheritance of traditional agricultural culture and modern agricultural technology innovation,the organic combination mode of smart agriculture and farming-reading education in the cultivation of new agricultural talents is explored.The analysis shows that it has the following applications in the cultivation of new agricultural talents:in terms of the integration of educational concepts,it combines the modern concept of smart agriculture with the traditional value of farming-reading education;in terms of constructing a curriculum system and adding courses related to smart agriculture,it retains basic courses in farming-reading education,and promotes interdisciplinary integration;in terms of practical teaching platforms,it establishes smart agriculture training bases and farming-reading education bases,and adopts a combination of virtual and real teaching methods;in terms of guiding innovation and entrepreneurship,it encourages students to participate in innovation and entrepreneurship projects,and strengthens industry-university-research cooperation;in terms of teacher team construction,it improves the quality of the teacher team and integrates educational resources both inside and outside the school.Moreover,its evaluation system and incentive mechanism are proposed:constructing a multi-dimensional evaluation system,combining quantitative and qualitative,process and result evaluation,and introducing the third-party evaluation;establishing scholarships and grants,providing support for innovation and entrepreneurship,conducting honor recognition and publicity,and offering career development support.

Novel cyber-physical collaborative detection and localization method against dynamic load altering attacks in smart energy grids

Owing to the integration of energy digitization and artificial intelligence technology,smart energy grids can realize the stable,efficient and clean operation of power systems.However,the emergence of cyber-physical attacks,such as dynamic load-altering attacks(DLAAs)has introduced great challenges to the security of smart energy grids.Thus,this study developed a novel cyber-physical collaborative security framework for DLAAs in smart energy grids.The proposed framework integrates attack prediction in the cyber layer with the detection and localization of attacks in the physical layer.First,a data-driven method was proposed to predict the DLAA sequence in the cyber layer.By designing a double radial basis function network,the influence of disturbances on attack prediction can be eliminated.Based on the prediction results,an unknown input observer-based detection and localization method was further developed for the physical layer.In addition,an adaptive threshold was designed to replace the traditional precomputed threshold and improve the detection performance of the DLAAs.Consequently,through the collaborative work of the cyber-physics layer,injected DLAAs were effectively detected and located.Compared with existing methodologies,the simulation results on IEEE 14-bus and 118-bus power systems verified the superiority of the proposed cyber-physical collaborative detection and localization against DLAAs.

Smart Farming for Sustainable Rice Production:An Insight into Application,Challenge,and Future Prospect

Rice has a huge impact on socio-economic growth,and ensuring its sustainability and optimal utilization is vital.This review provides an insight into the role of smart farming in enhancing rice productivity.The applications of smart farming in rice production including yield estimation,smart irrigation systems,monitoring disease and growth,and predicting rice quality and classifications are highlighted.The challenges of smart farming in sustainable rice production to enhance the understanding of researchers,policymakers,and stakeholders are discussed.Numerous efforts have been exerted to combat the issues in rice production in order to promote rice sector development.The effective implementation of smart farming in rice production has been facilitated by various technical advancements,particularly the integration of the Internet of Things and artificial intelligence.The future prospects of smart farming in transforming existing rice production practices are also elucidated.Through the utilization of smart farming,the rice industry can attain sustainable and resilient production systems that could mitigate environmental impact and safeguard food security.Thus,the rice industry holds a bright future in transforming current rice production practices into a new outlook in rice smart farming development.

Development of a Novel Noise Reduction Algorithm for Smart Checkout RFID System in Retail Stores

This paper presents a smart checkout system designed to mitigate the issues of noise and errors present in the existing barcode and RFID-based systems used at retail stores’checkout counters.This is achieved by integrating a novel AI algorithm,called Improved Laser Simulator Logic(ILSL)into the RFID system.The enhanced RFID system was able to improve the accuracy of item identification,reduce noise interference,and streamline the overall checkout process.The potential of the systemfor noise detection and elimination was initially investigated through a simulation study usingMATLAB and ILSL algorithm.Subsequently,it was deployed in a small-scale environment to validate its real-world performance.Results show that RFID with the proposed new algorithm ILSL and AI basket is capable of accurately detecting the related itemswhile eliminating noise originating fromunrelated objects,achieving an accuracy rate of 88%.

Smart molecular crystal switches

The multifaceted switches are part of our everyday life from the macroscopic to the molecular world.A molecular switch operating in the solution and in the crystalline state is very different.In this review,we summarize the state-of-the-art of smart molecular crystal switches based on molecular martensites.These crystal switches respond to external stimuli and reversibly change between states,retaining their macroscopic integrity.The operation of the switches predominantly relies on temperature alterations or mechanical stress,with emerging methods based on photothermal effects,photoisomerization,and host-guest chemistry.The capability of changing the molecular orientation and interaction in smart molecular crystal switches offers opportunities in several applications,including actuators,reversibly shaping structural materials,optoelectronic and magnetic materials,as well as switchable porous materials.Smart molecular crystal switches have vast potential in modern scientific and technological progress.The ongoing research shapes a rich landscape for innovation and future scientific exploration across diverse disciplines.

Smart City Development in China: One City One Policy

China is in a process of urbanization and is aiming at a type of people-centered urbanization. The main purpose of developing a ＂smart city＂ is to help this type urbanization and to serve the people of the city. From 2012 to 2015, China has chosen more than 300 cities or towns to be national pilot ＂smart cities.＂ These pilot smart cities are located in more than 30 provinces around China, which differ greatly in thousands ways. So we advocated ＂One City One Policy＂. In 2012, MOHURD announced 90 cities as first batch of pilot smart cities. After three years, some pilot cities achieved great progress. This paper introduces five example cities （including town, district） as five different models of China＇ s smart city development. They are- Guilin city; Yunlong demonstration zone; Panyu District; Yangling Agricultural Hi-tech Industries Demonstration Zone; Lecong town. This paper also introduces our standardization work on smart city field at present.

Preserving scheme for user’s confidential information in smart grid based on digital watermark and asymmetric encryption

As an essential part of the industrial Internet of Things(IoT)in power systems,the development of advanced metering infrastructure(AMI)facilitates services such as energy monitoring,load forecasting,and demand response.However,there is a growing risk of privacy disclosure with the wide installation of smart meters,for they transmit readings and sensitive data simultaneously.To guarantee the confidentiality of the sensitive information and authenticity of smart meter readings,we proposed a privacy-preserving scheme based on digital watermarking and elliptic-curve cryptography(ECC)asymmetric encryption.The sensitive data are encrypted using the public key and are hidden in the collected readings using digital watermark.Only the authorized user can extract watermark and can decrypt the confidential data using its private key.The proposed method realizes secure end-to-end confidentiality of the sensitive information.It has faster computing speed and can verify the data source and ensure the authenticity of readings.The example results show that the proposed method has little influence on the original data and unauthorized access cannot be completed within a reasonable time.On embedded hardware,the processing speed of the proposed method is better than the existing methods.

Elastic Smart Contracts in Blockchains

In this paper,we deal with questions related to blockchains in complex Internet of Things(IoT)-based ecosystems.Such ecosystems are typically composed of IoT devices,edge devices,cloud computing software services,as well as people,who are decision makers in scenarios such as smart cities.Many decisions related to analytics can be based on data coming from IoT sensors,software services,and people.However,they are typically based on different levels of abstraction and granularity.This poses a number of challenges when multiple blockchains are used together with smart contracts.This work proposes to apply our concept of elasticity to smart contracts and thereby enabling analytics in and between multiple blockchains in the context of IoT.We propose a reference architecture for Elastic Smart Contracts and evaluate the approach in a smart city scenario,discussing the benefits in terms of performance and self-adaptability of our solution.

Smart Grid Cyber Security： An Overview of Threats and Countermeasures

The smart grid is the next generation of power and distribution systems. The integration of advanced network, communications, and computing techniques allows for the enhancement of efficiency and reliability. The smart grid interconnects the flow of information via the power line, intelligent metering, renewable and distributed energy systems, and a monitoring and controlling infrastructure. For all the advantages that these components come with, they remain at risk to a spectrum of physical and digital attacks. This paper will focus on digital vulnerabilities within the smart grid and how they may be exploited to form full fledged attacks on the system. A number of countermeasures and solutions from the literature will also be reported, to give an overview of the options for dealing with such problems. This paper serves as a triggering point for future research into smart grid cyber security.

Study on interface failure of shape memory alloy(SMA)reinforced smart structure with damages

Shape memory alloy （SMA） reinforced smart structure can be used to make structural shape and strength selfadapted and structural damage self-restrained. Although SMA smart structures without damages were extensively studied, researches on SMA smart structures with damages have rarely been reported thus far. In this paper, thermo-mechanical behaviors of SMA fiber reinforced smart structures with damages are analyzed through a shear lag model and the variational principle, Mathematical expressions of the meso-displacement field and the stress-strain field of a typical element with damages are obtained, and a failure criterion for interface failure between SMA fibers and matrix is established, which is applied to an example. Results presented herein may provide a theoretical foundation for further studies on integrity of SMA smart structures.

Securing Parked Vehicle Assisted Fog Computing With Blockchain and Optimal Smart Contract Design

Vehicular fog computing(VFC)has been envisioned as an important application of fog computing in vehicular networks.Parked vehicles with embedded computation resources could be exploited as a supplement for VFC.They cooperate with fog servers to process offloading requests at the vehicular network edge,leading to a new paradigm called parked vehicle assisted fog computing(PVFC).However,each coin has two sides.There is a follow-up challenging issue in the distributed and trustless computing environment.The centralized computation offloading without tamper-proof audit causes security threats.It could not guard against false-reporting,free-riding behaviors,spoofing attacks and repudiation attacks.Thus,we leverage the blockchain technology to achieve decentralized PVFC.Request posting,workload undertaking,task evaluation and reward assignment are organized and validated automatically through smart contract executions.Network activities in computation offloading become transparent,verifiable and traceable to eliminate security risks.To this end,we introduce network entities and design interactive smart contract operations across them.The optimal smart contract design problem is formulated and solved within the Stackelberg game framework to minimize the total payments for users.Security analysis and extensive numerical results are provided to demonstrate that our scheme has high security and efficiency guarantee.

Smart Manipulation of Gas Bubbles in Harsh Environments Via a Fluorinert-Infused Shape-Gradient Slippery Surface

Fundamental research and practical applications have examined the manipulation of gas bubbles on open surfaces in lowsurface-tension,high-pressure,and high-acidity,-alkalinity,or-salinity environments.However,to the best of our knowledge,effi cient and general approaches to achieve the smart manipulation of gas bubbles in these harsh environments are limited.Herein,a Fluorinert-infused shape-gradient slippery surface(FSSS)that could eff ectively regulate the behavior of gas bubbles in harsh environments was successfully fabricated.The unique capability of FSSS was mainly attributed to the properties of Fluorinert,which include chemical inertness and incompressibility.The shape-gradient morphology of FSSS could induce asymmetric driving forces to move gas bubbles directionally on open surfaces.Factors infl uencing gas bubble transport on FSSS,such as the apex angle of the slippery surface and the surface tension of the aqueous environment,were carefully investigated,and large apex angles were found to result in large initial transport velocities and short transport distances.Lowering the surface tension of the aqueous environment is unfavorable to bubble transport.Nevertheless,FSSS could transport gas bubbles in aqueous environments with surface tensions as low as 28.5±0.1 mN/m,which is lower than that of many organic solvents(e.g.,formamide,ethylene glycol,and dimethylformamide).In addition,FSSS could also realize the facile manipulation of gas bubbles in various aqueous environments,e.g.,high pressure(~6.8 atm),high acidity(1 mol/L H 2 SO 4),high alkalinity(1 mol/L NaOH),and high salinity(1 mol/L NaCl).The current fi ndings provide a source of knowledge and inspiration for studies on bubble-related interfacial phenomena and contribute to scientifi c and technological developments for controllable bubble manipulation in harsh environments.

Research on Source Maintenance Key Technology of the Smart Substation

The source maintenance technology of the smart substation offers the base for the models, data and graphs sharing between the substation and the dispatch center. This paper researches on the conversion technology between SCD model in IEC 61850 Ed. 2 and the CIM model in IEC 61970. The substation provides SVG and SCD documents to the dispatch center, which includes primary equipment information and the network topology. The dispatch center’s automation system completes the conversion between the two models. This paper researches on the smart remote technology, which uses IEC 61850 as communication protocol. It can filter and restructure communication data based on the needs of different dispatch center. At the same time, it can provide quality control of communication link, to ensure that the important data be sent in real time.

Resilient power grid for smart city

Modern power grid has a fundamental role in the operation of smart cities.However,high impact low probability extreme events bring severe challenges to the security of urban power grid.With an increasing focus on these threats,the resilience of urban power grid has become a prior topic for a modern smart city.A resilient power grid can resist,adapt to,and timely recover from disruptions.It has four characteristics,namely anticipation,absorption,adaptation,and recovery.This paper aims to systematically investigate the development of resilient power grid for smart city.Firstly,this paper makes a review on the high impact low probability extreme events categories that influence power grid,which can be divided into extreme weather and natural disaster,human-made malicious attacks,and social crisis.Then,resilience evaluation frameworks and quantification metrics are discussed.In addition,various existing resilience enhancement strategies,which are based on microgrids,active distribution networks,integrated and multi energy systems,distributed energy resources and flexible resources,cyber-physical systems,and some resilience enhancement methods,including probabilistic forecasting and analysis,artificial intelligence driven methods,and other cutting-edge technologies are summarized.Finally,this paper presents some further possible directions and developments for urban power grid resilience research,which focus on power-electronized urban distribution network,flexible distributed resource aggregation,cyber-physical-social systems,multi-energy systems,intelligent electrical transportation and artificial intelligence and Big Data technology.

Machine Learning-Enabled Power Scheduling in IoT-Based Smart Cities

Recent advancements in hardware and communication technologies have enabled worldwide interconnection using the internet of things(IoT).The IoT is the backbone of smart city applications such as smart grids and green energy management.In smart cities,the IoT devices are used for linking power,price,energy,and demand information for smart homes and home energy management(HEM)in the smart grids.In complex smart gridconnected systems,power scheduling and secure dispatch of information are the main research challenge.These challenges can be resolved through various machine learning techniques and data analytics.In this paper,we have proposed a particle swarm optimization based machine learning algorithm known as a collaborative execute-before-after dependency-based requirement,for the smart grid.The proposed collaborative execute-before-after dependencybased requirement algorithm works in two phases,analysis and assessment of the requirements of end-users and power distribution companies.In the rst phases,a xed load is adjusted over a period of 24 h,and in the second phase,a randomly produced population load for 90 days is evaluated using particle swarm optimization.The simulation results demonstrate that the proposed algorithm performed better in terms of percentage cost reduction,peak to average ratio,and power variance mean ratio than particle swarm optimization and inclined block rate.

Dynamic Testing of an IEC 61850 Based 110 kV Smart Substation Solution

This paper presents the dynamic simulation and testing to verify the smart substation solutions designed for a brown field 110 kV retrofitting project. An IEC 61850 based aotomation design, transitioning the conventional substation into a smart substation, where existing current/voltage transformers remain in service, and smart Field Apparatus Interface Units (FAIUs) are utilised to bridge the conventional primary system to the IEC 61850 based secondary system. While outdoor switchgears and field instrument transformers are equipped with FAIUs, MV indoor switchgears are installed with IEDs mounted on the top. Direct point-to-point connections serve as process buses, and a single PRP/RSTP LAN is employed at station bus level. Extensive dynamic simulation and testing were conducted in the Smart Substation Technologies Lab, and test results show the smart substation performance meets and exceeds the substation reliability requirement.

Editorial for the Special Issue on Smart Grid and Energy Internet

Power grids have encountered many challenges in recent years,including low carbonization and national energy security,as well as the stringent power reliability,resiliency,quality,and efficiency requirements of the digital age.Many studies have been conducted on the development and implementation of the smart grid to address these issues.The essential technical characteristics of the smart grid are two-way flow of electricity and information,in order to establish a highly automatic and widely distributed energyexchange network;and utilization of distributed computation,communication,and internet within power grids in order to realize the real-time exchange of information and a near-instantaneous balance between power demand and supply at the device level.Flexible network topology and integrated energy and communication system architecture,huge quantities of distributed energy resources,distributed intelligent infrastructure,and real-time exchange of information are four critical features of the smart grid.In order to enable the smart grid’s functions,innovation is required to induce novel technologies and business models.

Designing Technical Standard System of Strong & Smart Grids Based on SLO Principle

In this paper, the international status of the research on the technical standards of smart grids is overviewed. An approach using the SLO principle to establish the technical standard system of strong & smart grids is put forward. A four-layered structure for the system is expounded, which consists of 8 domains, 26 technical fields, 92 standard series and hundreds of standards.