The Research on Open Sharing of Higher Education Park Based on Intelligent Security System

The intelligent security system is a series of systems that use modern information technology means such as artificial intelligence, cloud computing, big data, face recognition to carry out comprehensive monitoring, early warning, prevention and control, disposal, etc, for security protection. It is the development trend of security system in the future, and it is also the basis for open sharing between higher education parks and universities. By using content analysis, unstructured interviews and other research methods, this paper deeply studies the feasibility and basic ideas of the construction of intelligent security system in Shahe Higher Education Park, and forms basic experience and typical practices through the project construction, which further promotes the more intelligent, standardized and scientific safety management in colleges and universities. It really provides an important theoretical basis and practical guidance for the opening and sharing between higher education parks and universities.

Intelligent Parking Management System Based on Image Processing

This paper aims to present an intelligent system for parking space detection based on image processing technique. The proposed system captures and processes the rounded image drawn at parking lot and produces the information of the empty car parking spaces. In this work, a camera is used as a sensor to take photos to show the occupancy of car parks. The reason why a camera is used is because with an image it can detect the presence of many cars at once. Also, the camera can be easily moved to detect different car parking lots. By having this image, the particular car parks vacant can be known and then the processed information was used to guide a driver to an available car park rather than wasting time to find one. The proposed system has been developed in both software and hardware platform. An automatic parking system is used to make the whole process of parking cars more efficient and less complex for both drivers and administrators.

Intelligent Parking Management System by Multi-Agent Approach:The Case of Urban Area of Tunis

By coordination and cooperation between multi-agents, this paper proposes the network of intelligent agents which can reduce the search time needed to finding a parking place. Based on multi-agent model, the fined solution is designed to help drivers in finding a parking space at anytime and anywhere. Three services are offered: the search for a vacant place, directions to a parking space and booking a place for parking. The results of this study generated by the platform MATSim transport simulation, show that our approach optimizes the operation of vehicles in a parking need with the aim of reducing congestion, and improve traffic flow in urban area. A comparison between the first method where the vehicles are random and the second method where vehicles are steered to vacant parking spaces shows that the minimization of time looking for a parking space could improve circulation by reducing the number of cars in the morning of 2% and 0.7% of the evening. In addition, the traffic per hour per day was reduced by approximately 4.17%.

Smart Parking Management System “MOTAH”

With a surge in the university’s student and staff population, parking problems and congestion have rapidly intensified. The recent inclusion of women drivers, particularly during official working hours, has exacerbated these challenges. This pressing issue underscores the critical necessity for a structured approach to managing university entries and overseeing parking at the gates. The proposed smart parking management system aims to address these concerns by introducing a design concept that restricts unauthorized access and provides exclusive parking privileges to authorized users. Through image processing, the system identifies available parking spaces, relaying real-time information to users via a mobile application. This comprehensive solution also generates detailed reports (daily, weekly, and monthly), aiding university safety authorities in future gate management decisions.

Review of Key Technologies and Applications in Intelligent Transportation Systems

The development of Intelligent Transportation Systems(ITS)is closely intertwined with the growth of every city,serving as a critical component of smart city construction.This paper provides a concise overview of the concept and overall framework of smart transportation.It emphasizes the application of key technologies,including Traffic Element Identification and Perception,data mining,and Smart Transportation System Integration Technology,in the field.Furthermore,the paper elucidates the current practical applications of smart transportation,showcasing its advancements and implementations in real-world scenarios.

U-PARK智慧停车创新理念研究及实践探索

停车难、行车难是城市化进程发展到一定阶段不可避免的产物,针对国家提出的“新基建”、“绿色转型”等政策,城市向地下空间延伸已是不可逆转的趋势。该文提出U-PARK智慧停车创新理念,依托南京示范工程,阐述了建筑、结构、高密度立体停车架构、智慧管理系统设计,引入了适合于密集建筑区超深地下空间开发的机械掘进悬吊拼装竖井施工工艺,并对投融资模式、经济效益及运营模式进行简要分析,对衍生技术的未来应用场景进行展望。

Reservation Based Optimal Parking Lot Recommendation Model in Internet of Vehicle Environment

In order to solve the problem that the drivers can't find the optimal parking lot timely,a reservation based optimal parking lot recommendation model in Internet of Vehicle(IoV) environment is designed.Based on the users oriented parking information recommendation system,the model considers subjective demands of drivers comprehensively,makes a deeply analysis of the evaluation indicators.This recommendation model uses a phased selection method to calculate the optimal objective parking lot.The first stage is screening which based on the users' subjective parking demands;the second stage is processing the candidate parking lots through multiple attribute decision making.Simulation experiments show that this model can effectively solve the problems encountered in the process of finding optimal parking lot,save the driver's parking time and parking costs and also improve the overall utilization of parking facilities to ease the traffic congestion caused by vehicles parked patrol.

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.

Developing of the EV charging and parking shed of BIPV

Building-integrated photovoltaic(BIPV) is an important application way of solar photovoltaic power. The electric vehicle(EV) charging and parking shed of BIPV is the regeneration energy intellectual integration demonstration application system collection of photovoltaic(PV) grid power,PV off- grid power,EV charging and parking shed,and any part of the functions and their combination will be engaged in practical application on demand. The paper describes the PV shed system structure and design in detail with the present of its actual photos. The shed is 50 m long and 5.5 m wide and capable of parking 18 cars. Under the control of system intellectual controller,the power produced by PV from sunlight will charge the parking EV car prior to charging the storage battery,charging the storage battery prior to grid power,grid power at last,and charge the EV by utility grid when it is a cloudy or rainy day.

Research on Key Points of Design of Standard Plants in Modern Industrial Parks Under the Background of Promoting the Development of New Quality Productive Forces

With the progress of science and technology and the acceleration of industrialization,the modern industrial park is an important carrier of industrial development.The importance of its standard plant design has become increasingly prominent.With the development of new quality productive forces as the background,this research deeply discusses the key points of standard plant design in modern industrial parks.This paper uses literature review and case analysis to systematically analyze the important role of standard plant design in developing new quality productive forces in modern industrial parks and puts forward suggestions for optimizing design.It is found that the rationality,intelligence,and environmental protection of plant design are the key factors affecting the development of new quality productive forces.The paper summarizes the core points of modern industrial park standard plant design to provide a reference for the future development of related industries.

北京设施蔬菜产业园区发展现状、问题和对策研究

农业产业园是引领农业高质量发展的新引擎,是发展农业新质生产力的有效载体和有形抓手。以北京都市型现代农业最具代表性的设施蔬菜产业园为调研对象,在12个设施蔬菜主产区选取70个重点园区开展调研,从园区生产规模、设施利用管理、生产技术应用、采收及销售、成本效益、联农带农作用等方面分析了北京设施蔬菜产业园区生产经营现状,针对在资金、技术、土地、人才、产业链延伸方面面临的主要问题,从基础设施建设、政策支持引导、关键技术攻关、产业链拓展与优化四个方面提出推进设施蔬菜产业园发展的对策建议。

NB-IoT环境下智慧停车诱导系统停车位选择及诱导方案研究

随着城市化进程的不断加速与机动车数量的持续增长,停车难如今已成为城市可持续健康发展的一个亟待解决的问题。传统停车管理方式效率低下,无法满足现代城市实际停车需求。基于NB-IoT的智慧停车诱导系统通过集成物联网、大数据、云计算和人工智能等现代信息技术,实现了对停车资源的智能化管理和优化配置。本文讨论了NB-IoT技术在智慧停车诱导系统中的应用,并提出一套完整的技术解决方案,并对其进行了相关实证研究和分析。研究结果表明,该系统能够有效提高停车效率,改善用户体验,缓解交通压力,并为未来城市发展与规划提供了价值参考依据。

NB-IoT环境下基于区块链技术的智慧停车诱导系统信任评估研究

为解决智慧停车诱导系统中停车场、车辆、RSU设备之间存在的信息交互不可信及交易不可靠等问题,提出了一种基于区块链技术的信任评估机制。首先,通过对比各种通信方案优缺点,选择窄带物联网作为网络环境,搭建基于区块链技术的智慧停车诱导系统整体框架。其次,基于物联网节点行为考虑选择数据分组转发量、传输数据分组的重复率以及传输数据传输时延作为信任评估指标,引入分段线性函数,建立有等级划分的信任评估模型,结合智能合约形成可靠的交易凭证。最后,对基于区块链技术的停车信息交互过程进行优化,保证了信息交互的安全性。本文为智慧停车诱导系统的信任评估机制研究提供可靠理论基础。

绿色能碳管理在智慧园区中的应用

企业面对高能耗时,由于统计维度单一和用能监测缺乏透明度,无法从多方面制定优化策略,加上能耗数据缺失,使得能源使用管理不知如何开展。文章依托海油某建设项目园区的能碳建设管理,通过对基础设施软硬件接入,搭建大数据和人工智能技术平台,从系统设计优化、设备仪器配备、区块链搭建等方面展现智慧园区中的绿色能碳管理,为园区指标管理和优化决策提供有效支持。

Autonomous parking control for intelligent vehicles based on a novel algorithm

Along with the increasing number of vehicles, parking space becomes narrow gradually, safety parking puts forward higher requirements on the driver＇s driving technology. How to safely, quickly and accurately park the vehiclo to parking space right？ This paper presents an automatic parking scheme based on trajectory planning, which analyzing the mechanical model oftbe vehicle, establishing vehicle steering model and parking model, coming to the conclusion that it is the turning radius is independent of the vehicle speed at low speed. The Matlab simulation environment verifies the correctness and effectiveness of the proposed algorithm for parking. A class of the automatic parking problem of intelligent vehicles is solved.

泛在可信物联网技术在智慧社区中的应用

针对当前国内社区智慧化系统建设中物联网泛在可信方面的发展现状和存在的问题,介绍了思普瑞泛在可信物联智能系统的可信技术策略,并通过智慧门禁、智慧建筑、智慧园区等三个不同层面的应用场景项目建设案例,列举了可信物联网技术在智慧社区层面的示范应用实践。

化工园区数智化提升研究

简述了我国化工园区数智化提升的重要意义及智慧化工园区建设概况;分析了智慧化工园区建设面临的挑战与风险;在此基础上,对我国智慧化工园区建设提升的具体举措进行了深入研究,并提出建议。

考虑CAV自主停车行为的混合交通均衡配流模型

为了评估网联自动驾驶汽车(CAV)的自主停车行为对交通系统效率的影响,建立了CAV通勤流、人工驾驶汽车(HDV)通勤流、CAV自主停车流3类交通流混行下的交通均衡配流模型.通过引入CAV停车需求内生变量,考虑CAV对路段通行能力的提升效应,从而定量描述CAV停车需求分布以及3类交通流在路段上混行的拥挤效应.分别采用用户均衡、随机用户均衡原则描述CAV、HDV出行者的路径选择行为,采用Logit离散选择模型描述自主停车CAV的停车场选择行为,由此建立多用户混合交通均衡条件以及等价的变分不等式(VI)模型.由于模型中CAV自主停车需求为未知的内生变量,提出一种改进的相继加权平均法求解该模型.最后,通过算例验证了混合交通均衡配流模型及求解算法的有效性.

数智赋能下国家考古遗址公园智慧化场景服务体系构建

构建国家考古遗址公园智慧化场景服务体系,对于促进大遗址保护管理与活化利用、提升国家考古遗址公园公众感知体验具有重要意义。本文采用网络调研法调查55家国家考古遗址公园场景服务现状,探讨数智赋能下国家考古遗址公园智慧化场景服务诉求,构建涵盖基础支持层、数据处理层、技术分析层、场景服务层、虚实共生层五个层次的智慧化场景服务体系架构,并提出国家考古遗址公园服务体系建设的保障策略,为国家考古遗址公园场景服务智慧化发展提供参考。

智慧化工园区建设现状及未来发展趋势研究

总结了我国智慧化工园区发展现状,剖析了智慧化工园区建设运行存在的问题,提供了智慧化工园区建设与管理提升建议,展望了智慧化工园区未来发展趋势。