Study on 5G Application Scenarios in Intelligent High-Speed Railway

5G technology is indispensable for developing comprehensive perception and ubiquitous interconnection of intelligent high-speed railways(HSRs),and can be applied to many scenarios in intelligent construction,intelligent equipment,intelligent operation and in other fields.In order to promote the standardized application of 5G technology in intelligent HSRs in a scientific and orderly manner and to avoid redundant construction and wasteful investment,it is imperative to carry out a systematical top-level design of the application scenarios at the initial stage.To this end,after investigating and analyzing the 5G application demands in different aspects of HSRs and the general structure of the railway 5G network,this paper formulates an overall planning of 5G technology application scenarios and proposes solutions to some typical application scenarios in the intelligent HSR system,based on the architecture and requirements of the intelligent HSR system.

Typical Application Scenarios and Economic Benefit Evaluation Methods of Battery Energy Storage System

Energy storage system is an important means to improve the flexibility and safety of traditional power system,but it has the problem of high cost and unclear value recovery path.In this paper,the typical application scenarios of energy storage system are summarized and analyzed from the perspectives of user side,power grid side and power generation side.Based on the typical application scenarios,the economic benefit assessment framework of energy storage system including value,time and efficiency indicators is proposed.Typical battery energy storage projects are selected for economic benefit calculation according to different scenarios,and key factors are selected for sensitivity analysis.Finally,the key factors affecting economic benefit of the energy storage system are analyzed.

Research on the Pushover Methodology and the Applications on the Bridge Seismic Performance Improvement Scenarios

In this paper, we conduct research on the pushover methodology and the applications on the bridge seismic performance improvement scenarios. Bridge is an important part of the traffic lifeline engineering, and after the earthquake, if the bridge damage, that will hinder the timely disaster relief operations, increase secondary disasters, not only cause the direct or indirect losses of people＇ s life and property, also affect the post-disaster recovery and reconstruction. Therefore, seismic design of the bridges has been people＇ s attention. From the earthquake when the bridge failure mechanism and the failure process point of view, to adjust the overall layout design of bridge structure, fundamentally improve the structural seismic performance as a whole. Our research proposes the novel paradigm for the corresponding challenges that will be meaningful.

Analysis on the High-end Feeding System and the Application Scenarios on the Lake Sheep Barn Feeding Scale Breeding Technology Research

In this paper, we conduct research on the high-end feeding system and the application scenarios on the lake sheep barn feeding scale breeding technology research. Sheep farm reproduction for the main places, so make sure sheep pen set reasonable. At the same time, we should reduce/avoid adverse effects caused by the surroundings of the flock, and conducive to the sheep’s normal growth and reproduction.Goats engineering technology mainly includes process of design and construction, building facilities, environmental control, waste treatment technology, sheep product processing technology, such as sheep breeding engineering technology is connected to the biological technology. This paper integrates the related theories to propose the countermeasures that will be meaningful.

Research and application of artificial intelligence service platform for the power field

Conventional analysis methods cannot fully meet the business needs of power grids.At present,several artificial intelligence (AI) projects in a single business field are competing with each other,and the interfaces between the systems lack unified specifications.Therefore,it is imperative to establish a comprehensive service platform.In this paper,an AI platform framework for power fields is proposed;it adopts the deep learning technology to support natural language processing and computer vision services.On one hand,it can provide an algorithm,a model,and service support for power-enterprise applications,and on the other hand,it can provide a large number of heterogeneous data processing,algorithm libraries,intelligent services,model managements,typical application scenarios,and other services for different levels of business personnel.The establishment of the platform framework could break data barrier,improve portability of technology,avoid the investment waste caused by repeated constructions,and lay the foundation for the construction of "platform + application + service" ecological chain.

Research on Development of the Aesthetic Interaction and Interaction Design Theory and the Applications on Art Design Field

In this paper, we conduct research on development of aesthetic interaction and interaction design theory and the applications on art design fi eld. In this article to discuss the experience and the depth of the aesthetic object is limited in the fi eld of aesthetics, although both clearly show their subject or object, but if points in general is easy to fall into the quagmire of subjective idealism and mechanical materialism, it is off the aesthetic realm. It is on the basis of the unity between subject and object of this essay, it is in this, experience and the depth of the aesthetic object is worth exploring the intersection. Organizational communication and the reception aesthetics in their own unique research perspective and multi-disciplinary background, in the organization and the role of aesthetic gradually revealed, integration and interaction of the two is the inevitable trend of development. Under this basis, we propose the corresponding issues as the implementation that is meaningful.

颠覆性创新、场景驱动与新质生产力发展

加快颠覆性创新转化为新质生产力,是新时代推进现代化产业体系建设和赋能高质量发展的重要任务。颠覆性技术的演化、新兴产业的成长都离不开应用场景的支撑。新兴技术的应用场景具有多样性、规模性、演进性、协同性、不确定性等特征,在其“工程化—商业化—产业化”动态演进过程中发挥着技术验证、需求验证和生态构建的作用。实践中,促进一些突破既有法律和政策边界的创新在特定场景中的应用,需要提升政策适配性。为此,应坚持统筹设计,推进包容、审慎监管;增加场景供给,加大场景示范推广力度;提升场景创新能力,夯实场景创新基础;培育融合创新生态,优化服务保障。最终,通过创新、构建和发展应用场景,加快发展新质生产力。

ChatGPT技术在生物医药领域的应用潜力与风险

本文系统梳理了ChatGPT的发展历程与现状,分析ChatGPT技术与生物医药领域的耦合情况。从知识创新与模型创新两个维度,划分生物医药领域ChatGPT技术应用的类型,并分析其应用焦点、应用场景和特征;从科学研究与消费终端应用的角度阐述各项ChatGPT技术类型在生物医药领域中的应用价值;剖析各项ChatGPT技术类型在生物医药领域中存在的潜在风险。ChatGPT技术将加快生物医药领域的研究与服务,扩大而非取代研究人员的专业知识。未来应加强微调挖掘型GPT工具与部署型服务设施的建设,推动ChatGPT技术在生物医药领域的有效应用。

支撑新能源电力系统灵活性需求的用户侧资源应用与关键技术

伴随着传统电力系统向以新能源为主体的新型电力系统转型升级,高比例新能源的接入和传统机组占比下降导致电力系统灵活性产生缺额。电动汽车、数据中心、P2X(power-to-X)等需求侧资源可以在多时间尺度为电力系统提供灵活性,是新型电力系统灵活性的重要组成部分。该文首先描述高比例新能源背景下输电网和配电网在不同时间尺度的灵活性需求,然后对比总结了典型需求侧资源的调节特性与应用实践,研究了需求侧资源在支撑高比例新能源输电网和配电网中运行、规划2个层面多时间尺度灵活性需求的应用场景。最后针对未来需求侧资源的研究重点,从聚合技术、电碳协同优化调控策略、可信调节能力量化和通信与信息交换标准等角度,对支撑新型电力系统需求侧资源应用的关键技术进行了总结与展望。

新形势下疾病预防控制信息化需求及应用场景分析

目的/意义探讨新兴信息技术催生的疾病预防控制信息化新需求、新场景,为信息技术与疾病预防控制体系现代化建设深度融合提供参考。方法/过程分析新兴信息技术在电子病历与疾病报告智能化解析、区域症候群监测、大规模疾病排查与辅助流行病学调查、多渠道监测预警、卫生应急状态下便携式单兵通信等多方面的探索性应用,阐释尚未形成体系的原因。结果/结论提出未来现代化疾病预防控制信息化发展建议,为提升公共卫生服务能力、创新业务变革提供技术支撑。

生成式人工智能在外语专业教学中的应用:以《大学思辨英语教程·精读》教学为例

本研究探讨以大语言模型(large language models,LLMs)为代表的生成式人工智能在外语专业教学中的应用。研究以《大学思辨英语教程·精读》教学为例,考察生成式人工智能的普及应用对教学内容和教学模式产生的影响;研究还通过典型案例,展示LLMs在教学中的应用场景,探讨其潜在应用价值。研究认为,大语言模型作为教师和学生之外的智能实体参与外语教学,正潜在地改变着教育格局。外语教育需要与时俱进,建构多种智能技术支持的新型教育框架。

智慧养老数据资源治理体系研究:基于活动理论视角

智慧养老产业市场规模不断扩大,产生了一系列有价值的数据资源,但全国智慧养老数据资源共享程度低、不成体系,呈现出不集成、不统一和不均衡的“三不”问题,导致数据资源价值难以充分发挥,阻碍了各养老服务主体的合作和效益提升,也影响了老年人对养老服务的满意度,因而亟须建立和完善智慧养老数据资源治理体系。尤其是对于治理过程中各个要素如何协同、面向具体场景的治理活动如何展开等难题,利用规范分析方法,基于活动理论提出智慧养老领域数据资源治理体系的整体框架,对其中的治理主体、客体、共同体、规则、工具和分工六大要素展开详细分析,并基于康复场景构建老年人康复活动中的数据资源治理流程。提出基于本体模型并包含“元数据—主数据—参考数据”三个层次的数据资源分类体系,发现智慧养老数据资源的治理模式将经历从无中心引导型的分布式治理到单中心集聚型的集中式治理,再到多中心孤岛型的分布集中式治理,最后形成多中心合作型的网络式治理,在不同阶段可相应构建督促机制、注册机制、协商机制、权责机制、激励机制、监管机制等治理机制。

态势感知技术在智慧校园安全中的应用研究

随着网络安全等级保护制度2.0标准的实施,主动防御已成为校园网络安全防护的重要策略,进而也推动着智慧校园安全体系的建设。通过对以态势感知技术在信息资产、业务逻辑、数据采集、架构设计以及安全预警等方面的深入研究,搭建出智慧校园态势感知平台的应用场景,及时捕获校园网络中的漏洞或异常事件,增强对校外攻击行为的主动防御能力,为学校提供精准的网络安全态势信息,从而提高智慧校园安全状况的控制力,进而降低其安全风险,高质量实现智慧校园安全防御目标。

论人形机器人治理中的刑法归责

随着机器人和人工智能技术的快速发展,作为具身智能的人形机器人在应用场景上逐渐拓宽,同时也形成了多元而复杂的安全风险和刑法归责难题。理论上主要存在代理责任、过失责任、严格责任、独立责任四种各有利弊的刑法归责模式。除了严格责任之外,其余模式都可以统合在场景化的刑法归责体系之中。在当前人工智能的发展阶段,传统的刑法教义学原理可以处理绝大部分的机器人刑法归责问题,不过也应在新的技术条件下对可容许风险、信赖原则予以新的推演和发展。取决于未来的技术进展,在功能主义的视角下,将来可以考虑有条件地肯定智能人形机器人独立责任主体地位的可能性。人形机器人的刑法归责体系,应当对其他法秩序的规范评价和机器人伦理标准的探讨保持协同和开放。

综合能源系统下虚拟储能建模方法与应用场景研究综述及展望

为了促进多能耦合互补和实现可再生能源就地消纳,综合能源系统已成为多领域的研究热点。考虑到能源设备及网络的多样性、复杂性以及多种能源时间尺度的差异性,根据能量平衡原理,对系统内具有可调特性的源、网、荷进行储能化建模,并构成虚拟储能系统参与到综合能源系统的优化调度中。为了准确把握虚拟储能的研究重点,首先介绍了虚拟储能的定义、逻辑架构和技术内涵;其次针对综合能源系统源、网、荷端设备或网络,总结和归纳了4种虚拟储能建模方法和特性指标;然后重点分析了虚拟储能在4种典型场景的具体应用;最后展望了虚拟储能未来的发展方向。

元宇宙赋能智慧图书馆:内涵特征、应用场景与建设路径

元宇宙的出现给图书馆的智慧化发展带来了新的理念和技术支撑,必将重塑智慧图书馆的建设路径。图书馆应抓住机遇,紧跟元宇宙时代变革,加强智慧图书馆建设。文章从元宇宙和智慧图书馆的关系入手,探讨元宇宙赋能智慧图书馆的内涵特征,构建元宇宙技术下智慧图书馆的应用场景,在分析元宇宙视域下智慧图书馆建设存在问题的基础上,从设施、技术、资源、人才、监管等5个方面提出智慧图书馆的建设路径。

教师数字能力发展场景:内涵特征、构建框架与实践建议

场景是链接数字技术与教育实践的桥梁,也是培养教师数字能力的创新方式。该文对当前教师数字能力发展的问题和需求进行分析后,从内涵特征、构建框架以及实践建议三个方面对构建和应用场景支持教师数字能力发展进行了全面阐释。内涵特征部分强调场景对于挑战性或复杂性实践事件的还原,明确了整体性、复杂性、交互性、创新性以及协同性等特征;构建框架包括构建要素与类型划分,基于文献研究并结合教师数字素养发展规律,该文提出了情境、挑战、选择、结果、反思、技术六个要素,依据设计目标、驱动要素、媒体样态提出了多种适合不同需求的场景类型;实践建议中涉及到规划、资源、实施以及评价四个方面,包括优化教师数字能力发展规划、改造课程资源的样态与设计思路、创新“研训赛用”闭环模式的实施、提升评价的科学性和可解释性。

智能制造新应用场景下现场工程师培养的现实困境与路径优化

随着科技革命和新型工业化的持续推进,制造业涌现出数字孪生、数字设计、智能检测,人机协同等数字化、智能化职业应用场景。新场景带来人才需求变革,能扎根生产一线、并创造性解决技术应用问题的智能制造现场工程师成为制约广大中小制造企业数字化转型与智能化升级的关键。现阶段职业教育在培养现场工程师的过程中,存在协同育人平台不完善、课程体系亟待重构一体化育人全过程等现实困境。因此,通过重新梳理产业链—岗位链—流程链—能力链—专业链—课程链的链接逻辑,依照产业需求导向、项目任务驱动、职业能力递进、创新实践支撑理念,引领多主体协同打造产科教平台、推动系统化重构高本协同课程体系、促进产学研训赛创一体化实施,全方位落实智能制造现场工程师的培养。

“光储直柔”建筑配电系统应用研究

以某项目为例分析“光储直柔”在建筑物中的应用,并对“光储直柔”系统的应用场景、建筑直流配电系统的关注点及“光储直柔”系统关键设备进行阐述。

建筑产业互联网典型应用场景及发展策略研究

发展建筑产业互联网对推动建筑业数字化转型具有重要意义。本文在介绍建筑产业互联网概念和平台架构的基础上,分析了典型应用场景和面临的挑战,建议通过夯实工程建设全过程数字化基础、构建建筑产业互联网标准体系、推动建筑产业互联网数据融通应用、加强建筑产业互联网生态体系建设、加大建筑产业互联网政策支持等举措,实现建筑产业互联网的健康有序发展。