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.

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.

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.

Scenario-oriented nanopesticides:Shaping nanopesticides for future agriculture

Nanopesticides,as a promising technology,bring scientific and technological impetus to sustainable development and green revolution of agriculture.The excellent physicochemical properties,beneficial biological effects,and functional potential of nanopesticides have significantly contributed to improving utilization rates of pesticides,enhancing pest and disease management,and alleviating stresses.However,agricultural production and plant cultivation are diverse,leading to a wide range of application scenarios for pesticides.These application scenarios put forward more precise requirements and numerous innovative opportunities for the development of nanopesticides.Scenario-oriented nanopesticides are customized for various application scenarios and methods,aligning with the principles of economical,efficient,and sustainable future agriculture.This article outlines the development status of nanopesticides and then reviews the research progress of scenario-oriented nanopesticides,encompassing nine major application scenarios.Finally,the development priorities and prospects of scenariooriented nanopesticides are summarized,offering innovative concepts for advancement of nanopesticides.

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.

面向应用场景的前沿技术识别方法

[研究目的]场景驱动创新是引领产业结构升级的关键路径,如何基于不同场景识别前沿技术成为推动新质生产力发展的重要议题。[研究方法]提出了一种面向应用场景的前沿技术识别方法。首先以专利、论文为数据源,基于前瞻性、先导性、探索性、颠覆性指标体系初步筛选前沿技术主题;其次以科技报告为数据源,基于技术-关系-技术(Technology-Relationship-Technology,TRT)结构的语义分析,分析技术应用场景;最后,构建专利、论文数据与科技报告的相似性矩阵,建立技术与场景识别结果的关联,据此进一步筛选前沿技术主题,并结合专家知识,识别出面向应用场景的前沿技术主题,提供了场景驱动实践探索的新方法。[研究结果/结论]以无人机目标识别与跟踪领域为例进行实证研究,在面向情报、监视与侦察(Intelligence,Surveillance,and Reconnaissance,ISR)、物资运输、医疗补给等14个应用场景的前沿技术识别结果显示,目标识别与跟踪算法设计、视觉系统与图像处理技术、任务规划技术、无线通信技术4项技术为该领域的前沿技术,验证了该识别方法的可行性与有效性。

区块链技术赋能档案管理创新的框架设计与应用场景

区块链技术正成为新一轮产业变革的核心驱动力,为传统行业转型升级带来了新的机遇。档案管理是维护国家历史记忆、服务经济社会发展的重要支撑,亟须运用区块链等现代技术来推进治理变革。在梳理区块链技术发展现状及档案管理需求的基础上,分析了区块链在档案管理中的定位和作用,构建了覆盖档案形成、保管、利用全生命周期的区块链创新应用框架,并以典型应用场景为例,探讨了区块链技术推动档案管理变革的具体实现路径,为充分释放区块链技术赋能档案事业发展的潜力提供了理论参考和实践指引。

中国数字乡村政策关注度识别——基于“工具-场景”二维框架的文本分析

数字乡村是促进乡村振兴和农业农村现代化的关键战略方向。中国数字乡村政策注意力分配存在差异。政府偏好使用供给型工具,环境型工具次之,需求型工具应用最少。政策工具内部结构也存在“冷热不均”,对不同场景数字化建设均有所关注,较多政策指向乡村数字经济,对乡村网络文化和智慧绿色乡村关注度较低。在“工具—场景”交叉维度视角下,政府在使用较多供给型工具的前提下,更侧重运用需求型工具推进乡村数字经济和信息惠民服务建设,通过环境型工具推动乡村数字治理、乡村网络文化及智慧绿色乡村建设,但整体均呈供给型工具过多、环境型和需求型工具不足现象。未来应优化政策工具使用结构,平衡数字应用场景政策关注,提升“工具—场景”适配度。

基于开放教育大数据的学生支持服务行动方案研究

终身教育的高质量发展需要为个性化学习提供有力支撑,其中,为学生提供个性化支持服务是推动学业进展的重要保障。作为服务终身教育的主力军,开放大学普遍缺少精细化掌握学生情况以提供支持服务的主动干预举措。案例校是一所省级开放大学,通过三个学期的行动研究,形成了基于开放教育大数据的学生支持服务六步骤行动方案,构建了交互式驾驶舱,呈现了每个学生的学业谱系图,实现了对学生情况的整体把控、分类规划和细节关注。通过大数据区分出遗留生、学困生、接近毕业学生等特定群体,明确学业风险预警,并提出将学生需求与利益相关者对接、形成支持服务团队进行针对性干预和帮助的建议。

人工智能技术赋能移民管理翻译研究

人工智能技术为翻译带来了革命性变革,移民管理领域翻译涉及大量的文件和沟通工作,移民管理翻译与人工智能技术结合有巨大潜力和应用前景,有助于提高移民管理水平,促进国际交流与合作。AI技术与移民管理领域翻译的融合路径:收集移民管理翻译语料,建立语料库数据集;分解SMT (Statistics Machine Translation)基于统计的翻译解码器和NMT(Neural Machine Translation)神经机器翻译解码器的技术原理;结合优势,创造适用于移民管理翻译的人工智能翻译模型;将模型试用于实际的移民管理翻译场景中,总结问题探索进路。

低空经济助推新质生产力的运行机理与路径选择

低空经济是以低空飞行活动为牵引,以有人驾驶和无人驾驶航空器为主要载体,通过技术创新和模式创新推动相关产业融合发展的新型综合性经济形态。低空经济涉及领域和行业多、应用场景多、创新之处多、产业链条长、带动效应强,具有创新驱动性、空间依赖性、跨界融合性、辐射带动性等技术—经济特征。低空经济通过场景牵引、跨界融合、协同治理,聚焦应用场景,打造低空多场景应用,推动“低空+”物流配送、“低空+”城市空中交通、“低空+”旅游、“低空+”应急救援等规模化发展,在技术创新与制度创新相互嵌套、协同治理的基础上实现健康发展。当前,各地各部门积极抢占低空经济新赛道,通过建设智能互联高效的基础设施、加快低空智能互联航行技术创新、完善产业链增强低空产业韧性和安全等举措因地制宜打造融合创新的应用场景。为促进低空经济发展,应加强产业政策引导与支持,支持低空经济技术创新与研发,推动跨界融合与应用场景创新,完善产业链配套服务体系。

农业数字化转型的现实基础、应用场景与推进路径

我国农业数字化转型已取得显著进展,在数字基础设施建设、数字人才培育和全产业链数字融合方面奠定了坚实基础。农业数字化应用场景涵盖生产、加工和销售三大环节,各环节均呈现出创新性的数字化解决方案。然而,农业数字化转型仍面临区域间发展不平衡、数字人才供给不足、技术普及滞缓和数据孤岛效应显著等挑战。为此,需从缩小区域差异、构建多层次人才培养体系、促进技术普及与应用、构建数据协同共享生态系统等方面推进,以促进我国农业数字化转型的持续深入发展。

北京市地面公交行业信息化监管模式研究

基于数据资源、业务流程及功能需求的调研分析,提出监管基础标准化管理、现场检查规范化开展、非现场监管远程化实施和监管处置闭环化管理等信息化应用场景,分析北京市地面公交行业信息化监管应用案例。结合应用案例,进一步分析了信息化监管模式在监管信息准确性、检查效能、非现场监管能力及监管处置效率等方面取得的良好效果,并提出加强多元数据融合、提升非现场监管技术、推进跨部门协同监管等发展建议,为深化地面公交行业信息化监管工作提供理论及实践支持。

静电纺丝法制备纳米复合纤维研究进展

在复合纤维材料领域,随着新型复合纤维的开发与应用持续深入,静电纺丝技术在其中发挥着重要的作用。静电纺丝技术成功制备出超吸水纳米纤维、不同形态结构纳米纤维以及具备优秀压电性能的复合纤维材料等多种有潜力的材料,在拓展复合纤维材料性能和应用范围方面具有巨大潜力,能够为推动复合纤维材料领域的发展提供有力支持。

预训练大模型在公安领域中的应用场景研究

作为人工智能发展脉络中的里程碑,大模型以其强大的计算能力和深度学习技术,极大地提高了内容生产效率,促进内容生产方式颠覆式变革。本文从大模型的基本定义和预训练大模型产生的背景入手,结合公安工作特点,分类探讨了预训练大模型在公安不同工作场景中的应用。最后,文章对预训练大模型在公安工作中应用存在的风险进行了探讨,并提出了相应的应对策略。

建筑结构加固改造技术与方法浅析

建筑结构加固改造技术与方法在现代建筑领域扮演着重要角色,旨在提升结构安全性、延长使用寿命、改善性能等方面发挥作用。本文探讨了建筑结构加固的重要性和应用场景,包括延长使用寿命、提升抗灾能力、改善结构性能以及保护文物古建筑等方面。重点分析了建筑结构加固监测技术与设备的种类以及评估加固效果的指标与方法,为确保加固工程的实施效果提供了技术支持。通过加固老化结构、改善结构性能、抗灾加固和保护文物古建筑等应用场景的探讨,彰显了建筑结构加固的重要性和多样化应用。

5G基站区域电磁辐射环境影响对比研究

第五代移动通信技术(5G)基站在不同工作频段和应用场景中的电磁辐射影响存在明显变化,因此对批量基站开展区域电磁环境监测与评价具有实践指导意义。于2023年8—12月对安徽蚌埠市内2023年度新建成5G基站开展分频段辐射环境监测,采用区域调查监测方法对比分析了不同频段5G基站电磁环境影响,得出5G基站区域电磁辐射环境现状水平,选取典型基站数据传输、视频交互和无业务广播3种场景进行实测,提出影响电磁辐射环境监测结果的监测点位、应用场景等关键因素,并给出5G基站辐射环境监测中应用场景选择及记录等方法建议。

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。