中国电信的智能网建设

本文简介中国电信从由智能平台到由智能网提供智能业务的发展过程，陈述了中国电信智能网的建设过程及业务提供情况，并对智能网建设中遇到的问题进行了分析，提出了解决方案。     

Optimization for dynamic ride-sharing: A review

Dynamic ride-share systems aim to bring together travelers with similar itineraries and time schedules on short-notice. These systems may provide significant societal and environmental benefits by reducing the number of cars used for personal travel and improving the utilization of available seat capacity. Effective and efficient optimization technology that matches drivers and riders in real-time is one of the necessary components for a successful dynamic ride-share system. We systematically outline the optimization challenges that arise when developing technology to support ride-sharing and survey the related operations research models in the academic literature. We hope that this paper will encourage more research by the transportation science and logistics community in this exciting, emerging area of public transportation.     

35kV变电站智能化改造存在的问题及优化方案探究

本文对35kV变电站智能化改造中出现的问题进行认真严格的分析探究,并提出恰当的优化方案.     

基于物联网的张家口智能交通发展研究

我国的综合交通运输体系规划也计划构建综合交通运输体系,通过加快物联网、云计算等新兴信息技术在交通运输行业的应用来提高交通运输的信息化、智能化水平,实现完善政府运输监管、强化公共服务职能、提升运输服务水平的目标.张家口城市作为承办2022年冬奥会的城市之一,瞬间承受如此大的交通压力,针对城市智能交通的现状以及发展速度,对此提出一些建议.     

关于二次回路比对的智能变电站调试与安全措施生成方法探究

智能变电站与传统变电站存在一定差异,主要因为其使用的为配置描述文件二次回路设计方式,和各类数据信息与参数,在跳合闸期间,需要二次回路信息作为采样标本,以便于对其进行处理.在对变电站进行扩建期间,会对文件内容进行全面的修改,形成不同版本的文件格式,因此,应当保证二次回路的准确性,制定完善的调试方案,提高其安全性与稳定性.     

面向智慧社区的云分支服务器设计与实现*

根据我国智慧社区的最新发展和需求,设计了一种功能强大的云分支服务器(Embed Cloud Branch Server,ECBS).通过在社区合理布置云分支服务器,从而实现社区无线网络覆盖,居民通过终端设备连接上网并使用智能服务软件,实现了社区管理和服务的智能化.并提出一种基于节点负载权值的调度算法,实现云分支服务器数据的存储与更新,保证集群系统负载均衡.经应用测试表明,该云分支服务器性能稳定,应用效果好,具有一定的推广价值,符合未来智慧社区的发展趋势.     

智能无火花开关控制系统设计

为了从根本上消除接触器开关时刻产生的火花,增强工业生产安全,在大量实验基础上,结合气隙击穿和功率损耗分析产生火花的原因,从电磁、机械两方面因素分析接触器动作延时特性,总结火花产生熄灭规律,测量无火花区域大小。设计带有巴特沃斯滤波和自校正功能的智能开关控制系统,使接触器动作时刻误差绝对值小于0.3ms,精确地动作在无火花区域。验证了接触器延时特性分析和无火花区域理论的正确性及过零关断方案的可行性。     

A novel deep deterministic policy gradient model applied to intelligent transportation system security problems in 5G and 6G network scenarios

Traffic congestion has been an actual problem in large cities, causing personal inconvenience and environmental pollution. To solve this problem, new applications for Intelligent Transportation System (ITS) have been created, to monitor actual traffic conditions. Therefore, fast, reliable and safe systems are desirable for creating a real intelligent transportation environment. Deep learning algorithms have been proposed for a better understanding of traffic behavior from a security-related perspective. Thus, we aim to maximize the safety problems using a deep learning algorithm, where a novel policy gradient model is presented for detecting vehicular misuse. The proposed model uses a triple network replay algorithm, maximizing the network convergence speed. Three networks are selected to optimize the policy network variables. Finally, the replay algorithm is partitioned with the aim of obtaining a faster model. Simulations on a real urban map are performed in a scenario with the integration of 5G or 6G networks. An architectural model for the integration of a Vehicular Ad-hoc Network (VANET) and cellular networks is determined in software-defined networking (SDN). The results show that the accuracy prediction of the proposed system presents better performance compared to related studies, where the proposed model increases its convergence speed and cumulative reward. Thus, the ITS improvement by the proposed deep learning algorithm increases the prediction accuracy, and reduces the transmission delay, treating the traffic path according to the congestion.     

Outage probability of multiple-IRS-assisted SISO wireless communications over Rician fading

Outage probability (OP) performance of multiple-intelligent reflecting surface (IRS)-assisted is presented for a practically important single-input-single-output (SISO) wireless communication system over Rician fading channels where the IRS panel selection is considered. We investigate the SISO wireless communication scenario in which a single antenna transmitting node is sending its message to the receiving node with the aid of the best IRS panel selection. This wireless communication scenario model is a typical application of the uplink scenarios for future cellular wireless systems. We derive approximate OP expressions in the closed form using both the central limit theorem and the Laguerre series expansion. Further, we also derive a simple asymptotic OP to get diversity order and coding gain. The influence of each system parameter on OP performance is thoroughly investigated. In addition, the analytical OP results are corroborated with simulated OP results to confirm the accuracy of our presented analytical results.