Endogenous Security-Aware Resource Management for Digital Twin and 6G Edge Intelligence Integrated Smart Park

The integration of digital twin(DT)and 6G edge intelligence provides accurate forecasting for distributed resources control in smart park.However,the adverse impact of model poisoning attacks on DT model training cannot be ignored.To address this issue,we firstly construct the models of DT model training and model poisoning attacks.An optimization problem is formulated to minimize the weighted sum of the DT loss function and DT model training delay.Then,the problem is transformed and solved by the proposed Multi-timescAle endogenouS securiTy-aware DQN-based rEsouRce management algorithm(MASTER)based on DT-assisted state information evaluation and attack detection.MASTER adopts multi-timescale deep Q-learning(DQN)networks to jointly schedule local training epochs and devices.It actively adjusts resource management strategies based on estimated attack probability to achieve endogenous security awareness.Simulation results demonstrate that MASTER has excellent performances in DT model training accuracy and delay.

Asymmetric Consortium Blockchain and Homomorphically Polynomial-Based PIR for Secured Smart Parking Systems

In crowded cities,searching for the availability of parking lots is a herculean task as it results in the wastage of drivers’time,increases air pollution,and traffic congestion.Smart parking systems facilitate the drivers to determine the information about the parking lot in real time and book them depending on the requirement.But the existing smart parking systems necessitate the drivers to reveal their sensitive information that includes their mobile number,personal identity,and desired destination.This disclosure of sensitive information makes the existing centralized smart parking systems more vulnerable to service providers’security breaches,single points of failure,and bottlenecks.In this paper,an Improved Asymmetric Consortium Blockchain and Homomorphically Computing Univariate Polynomial-based private information retrieval(IACB-HCUPPIR)scheme is proposed to ensure parking lots’availability with transparency security in a privacy-preserving smart parking system.In specific,an improved Asymmetric Consortium Blockchain is used for achieving secure transactions between different parties interacting in the smart parking environment.It further adopted the method of Homomorphically Computing Univariate Polynomial-based private information retrieval(HCUPPIR)scheme for preserving the location privacy of drivers.The results of IACB-HCUPPIR confirmed better results in terms of minimized computation and communication overload with throughput,latency,and response time with maximized drivers’privacy preservation.Moreover,the proposed fully homomorphic algorithm(FHE)was compared against partial-homomorphic encryption(PHE)and technique without encryption and found that the proposed model has quick communication in allocating the parking slots starting with 24.3 s,whereas PHE starts allocating from 24.7 s and the technique without encryption starts at 27.4 s.Thus,we ensure the proposed model performs well in allocating parking slots with less time and high security with privacy preservation.

BLECA: A Blockchain-Based Lightweight and Efficient Cross-Domain Authentication Scheme for Smart Parks

Smart parks serve as integral components of smart cities,where they play a pivotal role in the process of urban modernization.The demand for cross-domain cooperation among smart devices from various parks has witnessed a significant increase.To ensure secure communication,device identities must undergo authentication.The existing cross-domain authentication schemes face issues such as complex authentication paths and high certificate management costs for devices,making it impractical for resource-constrained devices.This paper proposes a blockchain-based lightweight and efficient cross-domain authentication protocol for smart parks,which simplifies the authentication interaction and requires every device to maintain only one certificate.To enhance cross-domain cooperation flexibility,a comprehensive certificate revocation mechanism is presented,significantly reducing certificate management costs while ensuring efficient and secure identity authentication.When a park needs to revoke access permissions of several cooperative partners,the revocation of numerous cross-domain certificates can be accomplished with a single blockchain write operation.The security analysis and experimental results demonstrate the security and effectiveness of our scheme.

A Novel Green IoT-Based Pay-As-You-Go Smart Parking System

The better management of resources and the potential improvement in trafc congestion via reducing the orbiting time for parking spaces is crucial in a smart city,particularly those with an uneven correlation between the increase in vehicles and infrastructure.This paper proposes and analyses a novel green IoT-based Pay-As-You-Go(PAYG)smart parking system by utilizing unused garage parking spaces.The article also presents an intelligent system that offers the most favorable prices to its users by matching private garages’pricing portfolio with a garage’s current demand.Malta,the world’s fourth-most densely populated country,is considered as a case of a smart city for the implementation of the proposed approach.The results obtained conrm that apart from having a high potential system in such countries,the pricing generated correctly forecasts the demand for a particular garage at a specic time of the day and year.The proposed PAYG smart parking system can effectively contribute to the macro solution to trafc congestion by encouraging potential users to use the system’s services and reducing the orbiting time for parking.

Hierarchical Multi-objective Planning for Integrated Energy Systems in Smart Parks Considering Operational Characteristics

An integrated energy system(IES)is considered to be an important supporting technology for emission reduction because it can effectively improve the efficiency of energy utilization and promote its sustainable development.Considering the uncertainties and operational conditions,this paper establishes a bilevel multi-objective optimization model for IES for the Smart Park from the standpoint of economy,technology and environment.The upper level with one objective reflects the economic cost composed of investment,operating and maintenance,etc.The lower level constructs three objectives,including pollution emission,operation costs and renewable energy utilization.Simultaneously,various equality and inequality constraints are addressed to satisfy the technical requirements.In addition,an improved MOEA/D-MC-DC algorithm(Multi Objective Evolutionary Algorithm through Decomposition Based on Monte Carlo and Decoupled Coding,MOEA/D-MC-DC)is presented for handling the complex and nonlinear bilevel multi-objective optimization problems with constraints.A genetic algorithm(GA)is used to solve the upper single objective,while MOEA is employed to cope with the multi-objectives of the lower level.Using three typical IESs in the Smart Park as examples,several simulations are carried out to verify the efficiency,applicability and universality of the proposed model and optimization algorithm.The results show that the proposed method can effectively optimize the configuration of an IES in various Smart Parks.

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.

基于CIM的智慧园区技术探索与落地实践

城市信息模型(CIM)是我国智慧城市建设及城市数字化转型的重要抓手之一。其核心技术主要包括物联感知技术、GIS与新型测绘技术、孪生建模技术、可视化渲染技术、仿真推演技术和交互控制技术等。本文以独角兽岛智慧园区项目为例,探讨CIM技术、物联网技术、大数据技术及可视化渲染技术的交汇与融合应用,设计并建设应用场景支撑产业园区全生命周期的规划、建设、管理、运营以及园区空间价值提升,形成园区、产业、市场和社会的数字化运行理念和方式,并提炼出项目中展现出的特色与亮点,为推动我国智慧园区及智慧城市的建设提供基础支撑和建设经验。

融合区块链技术的城市停车困境解决路径探析

以哈尔滨为例分析了城市停车难的原因,结合区块链技术的特点,探讨其与停车大数据相结合,构建“区块链+停车大数据”智能停车系统的可行性,以及亟须解决的关键问题。对建设“区块链技术”智能停车系统提出建议,期望通过构建基于区块链技术的城市停车智能平台,使停车位信息扩大化、共享化,从而解决停车难题,实现智慧停车。

基于服务蓝图理念的智慧公园服务设计研究——以沈阳丁香东湖公园为例

随着人们对智慧公园关注度的不断提高以及国家政策的提出和推行,智慧公园成为智慧城市建设的重要组成部分。智慧公园突破传统的设计理念,创新了设计形式,为公园的建设和发展指明了方向,带来了新的机遇和挑战。然而随着大量智能技术的应用,智慧公园存在的问题也不断显现。文章从服务设计的角度出发,以服务蓝图作为切入点,分析服务蓝图在智慧公园服务设计中应用的优势,提出智慧公园改进的设计策略,并将服务蓝图与设计实践相结合提出新的服务设计,以期为智慧公园实现长远发展提供可行性的方案,使智慧公园在服务设计上更为全面周到。

现代信息技术背景下城市停车场资源有效利用现状及对策研究——以泸州市为例

随着我国经济的快速发展,汽车产业同样搭上了高速列车,汽车数量逐渐增多,许多城市交通拥堵、车位紧张、停车困难等现象屡见不鲜。该研究以四川省泸州市为研究取样地点,分析了城市停车场资源有效利用现状,利用现代APP应用软件下载模式进行远程定位操作,提出了城市停车场资源有效利用的提升路径,从而实现停车行业的改良转型。

面向地方的绿色智慧工业园区标准化评价研究

国家标准委于2014年成立国家智慧城市标准化协调推进组、总体组和专家咨询组,正式开启了智慧城市标准化的进程。2016年,中国标准化研究院发布了《绿色城市评价指标》,宣告着绿色城市标准化的深化。2023年国务院发布了《城市标准化行动方案》,将智慧城市和绿色城市作为一个城市的不同标准化角度对其进行评价。综合考虑绿色园区和智慧园区,本文提出了一个综合评价体系,该体系涵盖环境可持续性、智能化运营、资源效率、产业创新能力和园区生态与社会责任五个方面,为县城工业园区的发展提供了一个具体而全面的评价标准和质量评估方法。

大数据时代煤矿餐饮智慧管理研究

煤矿餐饮管理水平直接影响员工用餐体验,为提高管理效率与服务质量,该文以大数据时代为背景,在技术赋能路径下提出一种基于大数据的煤矿餐饮智慧管理方案。结果表明在该方案下通过各子系统的模块功能设计及应用,有利于达到预期目标。建议将该方案推广应用到同类煤矿餐饮智慧管理转型升级之中。

城市级智慧停车管理系统设计与研究

城市级智慧停车管理系统是通过建立城市级停车管理平台,提升停车管理信息化水平,加大对城市车辆及停车资源的管理,提高停车资源的利用,解决停车难、乱停车等问题。文章通过对城市级智慧停车管理系统的研究,介绍了城市级智慧停车管理系统的方案设计、路外停车管理系统设计、路内停车管理系统设计及停车诱导系统设计实现城市静动态交通互通互联,助力智慧城市的建设。

云边端融合的算网架构在智慧园区中的应用研究

随着全社会数字化变革的持续推进,利用云计算、边缘计算、人工智能、大数据、物联网等技术为各类园区赋能,打造新型智慧园区已成为趋势。然而,各类园区普遍占地规模大、入驻单位众多、持续建设周期长,在信息化系统建设领域存在重复建设、“信息孤岛”、网络架构复杂、算力不足且分配不均、缺乏统一算力调度体系等问题。同时,多种高算力需求技术应用越发普遍,算力和网络融合调度不足或成为制约园区数字化转型效果的基石性问题。基于此,从园区算网现状、云边端融合的算网架构、算网融合赋能智慧园区的具体案例等维度研究云边端融合的算网架构在智慧园区中的应用。

智慧园区综合管理平台建设研究

传统园区管理无法实现园区全方位的信息化、精细化以及智能化管理,迫切需要利用当前先进的GIS、云计算、物联网以及5G通信等技术,搭建一套智慧园区管理的综合信息平台以提升园区的运营效率。本文在实际调研的基础上,构建了智慧园区大数据库,开发了智慧园区综合管理平台,实现了园区数据资源“一张图”展示、园区综合指挥、智能安监、智慧运营以及智慧服务等功能,促进了园区发展和产业升级。

科技型智慧园区建设的探索与研究

通过对现有各方对智慧园区定义分析,结合科技型智慧园区的需求分析和类比分析,文章提出了科技型智慧园区的形态定义,阐述了科技型智慧园区建设思路、总体架构及行动计划建议,助力园区智慧化和产业升级。

基于大数据背景下的中小城市停车治理研究

中小城市城镇化和机动化的快速发展,给城市停车带来较大的压力。为了解决民生痛点,提升居民出行品质,有必要以大数据为手段,加强中小城市停车治理研究。本文通过对城市现有停车资源进行系统评估,从发展策略、建筑物停车配建指标制定、路外公共停车场布局规划、路内停车设施规划以及智慧停车系统建设的角度提出治理方案。以伊春市中心城区停车治理为例,通过建立分区的停车配建标准、多渠道挖潜公共停车泊位、动态评估调整路内停车泊位、建设智慧停车系统和推进停车共享等举措,伊春市中心城区的停车更加有序和高效,停车管理效能大幅提升。

基于数字孪生技术的后勤服务保障平台应用研究

本文基于数字孪生技术,建立统一的园区综合管控模型,研究一种后勤服务保障平台。在分析后勤服务平台系统架构和园区整体数字孪生管控特点的基础上,通过对园区建筑及后勤服务相关的主要管控设备进行三维模型建模,对前端感知设备的统一接入,实现与后勤服务保障相关的业务系统的联动。通过搭建数字孪生技术的后勤服务保障平台,实现园区人、车、物、事件的可视可管可控,通过数字化手段对园区进行精准运营,提升运营管理水平。

智慧城市道路内停车位现状与布设潜力分析——以武汉市江汉区为例

城市停车是智慧城市交通系统中的重要环节,伴随着城市人口的增多、城市的发展,停车问题日益突出;本文借助地理国情数据、高精道路地图数据、车辆保有量、道路内停车位数据等信息,通过数据整合、属性关联挂接、空间数据计算分析等方法,建立了道路内停车位数据处理流程,并对道路内的停车资源布设潜力进行分析,从理论上深度挖掘江汉区道路内可供布设的停车位信息,对江汉区道路内停车布设及缓解停车难的现状具有现实指导意义。

基于数字孪生技术的物流园区仓储规划与决策仿真系统研究

物流产业正在从劳动密集系统向复杂自动化系统升级,物流园区的设计与实施需要更加高效与科学的工具,然而市场上现有的数字孪生产品基本只能对物流园区实时状态与外界环境进行复现,缺少对决策的反馈。为了满足数字化与智慧化物流园区建设需求并填补相关技术空缺,本文通过数字孪生技术设计相应系统,该系统可模拟物流园区货物存储、运输和分流等一系列流程,在高拟真环境下开展园区设计与成本分析,发现物流园区中隐含的问题与发展瓶颈,优化园区内仓库布局和设备运营效率,从而为园区运营人员提供辅助决策支持,以实现物流园区的智能管理与降本增效。