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崎岖边缘生存电子书

趋势|Insight |解决方案

现在下载

什么是边缘计算?

边缘计算使计算能力和存储更接近网络的边缘,在那里产生数据。将计算能力、存储能力和连接性更接近于数据生成的来源将带来巨大的商业利益,包括实时数据分析和决策,这是机器智能的基础。通过消除与延迟相关的问题和增加物联网传感器附近的带宽量,企业业务可以实现更好的生产率和跨操作技术(OT)到信息技术(IT)流程的自动化。

边缘计算的工作原理

边缘计算模型使专用硬件和软件之间的共生关系能够使用智能传感器的数百万连接的物联网设备,大约无限的数据集和认知情境感知,以及用于AI的机器学习算法。

设备数据

物联网技术和传感器的爆炸式发展,有助于生成大量数据,帮助更好地为机器学习和智能建模提供信息。

聪明的见解

实时数据访问和洞察能够实现更多智能和自动化的边缘,其中推断分析可以提供实时处理

战略行动

基于数据和洞察力的战略行动可以提高成本、降低风险,并以更大的灵活性提高生产率和效率。

可以在云中完成算法的资源密集型训练,然后分享到更轻推理功能可以快速行动数据的边缘。

——德勤的见解

为什么边缘计算越来越重要?

由于IOT设备的爆炸,所以边缘计算设备越来越重要。
随着感官数据逐年增加,边缘计算可以实时处理数据,从而提高决策速度和响应时间,并在最重要的时候提高自动化水平。

关键行业趋势

  • 对云的依赖更少,但实时智能的工作负载利用率更高
  • 为网络物理基础设施的生产效率和IT创造更多的自主控制循环
  • 在接近数据的地方进行本地化处理,通过推理分析和实时认知意识提供机器学习
  • 具有先进连接技术(5G和Wifi 6)的超低延迟用例和即时响应时间
  • 通过机器智能实现更大的自动化和更好的业务决策

为什么需要坚固耐用地计算?

位置,位置,位置......

崎岖的边缘计算由我们的工业级设计支持,在经过认证的测试实验室中已经持续了严格的环境测试和验证。我们坚固的Edge Computers帮助今天最不稳定的IOT部署中的数据生成源更近的处理电源,存储和连接。现代化的日期计算硬件用于可扩展的边缘计算需要小,粗糙,节能和性能驱动。许多新的Edge计算应用程序正在崎岖,远程和移动位置部署,需要用于关键任务可靠性的硬件的粗糙化。

灰尘和碎片

坚固边缘计算机的无风扇设计允许系统被动冷却,使得边缘计算解决方案非常适合在灰尘、碎片、湿度和极端温度环境下进行部署备用yabovip

极端温度

崎岖的边缘PC使用宽温度范围组件设计和构建,创建一个非常能够在体验极冷和极热温度的环境中部署的系统,从-40°C范围为85°C。

震动和振动

坚固的边缘计算机采用了一种无绳设计,利用ssd(固态硬盘),并减少了关节的数量,使它们能够经受频繁的冲击和振动,符合MIL-STD-810G的要求。

低功耗

边缘计算硬件采用强大而高效的处理器,功耗低,产生的热量更少,因此非常适合部署在偏远地区。这些系统具有过压、过流和反极性保护,以防止不稳定电源造成的任何损害。

小足迹

坚固耐用的电脑采用紧凑的设计,占地面积小。占用空间小,允许在空间有限的环境中部署。有不同的安装选项,如墙安装和DIN轨道安装,坚固的边缘计算机可以安装迅速和容易。

坚固的边缘计算的好处

弥合物联网数据

随着每天数百万设备上线,来自物联网终端的传感器数据将继续增加。计算资源向数据生成靠拢,提供实时洞察。

性能增加

超低延迟

坚固的边缘计算机通过将超低延迟计算电源提供在5g和WiFi 6网络中的最新高级无线技术,允许最关键的工作负载进行实时数据遥测。

减少网络流量

减少带宽使用率

边缘计算解决方案减少了所需的互备用yabovip联网带宽,因为它们在数据生成的源头本地处理数据,只将后处理数据发送到云端进行远程监控和控制。

节约成本

互联网流量带宽,云计算服务和数据处理持续时间都是通过边缘计算大大减少的高成本。此外,坚固的边缘计算机可以利用功率高效处理器节省能源成本。

降低成本

更好的可靠性

在任何情况下,云计算被中断、断开或不可用,坚固的边缘计算机仍然可以提供服务。任何来自物联网设备的损坏和错误都可以检测到,以便立即采取行动。

增强安全性

TPM 2.0保护坚固的边缘计算硬件被篡改。使用较少的数据必须发送到云以进行处理,这减少了丢失和瞄准的包的可能性。


Enterprise AI和机器学习模型需要混合多功能硬件和专用软件,以满足每个独特的智能需求。通过前沿计算,AI解决方案彻底培训,优化和部署,以立即效率进行实备用yabovip时洞察力。


加固边缘计算应用

提供计算,存储,连接,安全性和软件中变换性技术的收敛,作为预防性边缘计算机的功能,有助于为机器学习和AI提供边缘模型。

自动车辆和舰队远程信息处理

智能机器人和机器学习

智能视频监控

智能物联网亭

工业自动化

计量与缺陷检测


坚固的边缘产品亚博在体育官网入口

边缘计算设备有各种不同类型,包括Mini IoT网关,无风扇边缘计算机和工业级嵌入式计算机。亚博欧冠注册随着更多的处理能力在远程,移动和苛刻的室外设置中更接近分散的环境,需要为可靠性和功率效率而粗鲁化计算解决方案备用yabovip

AI边缘推理计算机

通过粗糙化计算解决方案部署机器学习和运行经过验证的推理检测,目的是为处理(CPU和GPU),NVME存储和高级连接提供最高性能备用yabovip

无风扇迷你IOT网关

聚合任务关键的物联网传感器数据具有坚固耐用的和硬化的物联网网关,可使多个端点的数据遥测进入云中的更多仪表板分析。

工业嵌入式计算机亚博欧冠注册

通过工业级计算解决方案,简化工业4.0自动化,在最严酷的制造环境中需要更好的数据分析,以实现预测洞察力和更高的生产率备用yabovip

小型计算机

专门设计的计算硬件,以满足坚固、移动和远程应用中最苛刻的要求,这些应用需要去中心化处理,就像数据生成一样。

车载电脑

专为智能交通和汽车应用而设计,要求严格遵守车内计算硬件

HMI面板PC和工业监测器

集成IP额定的一体化触摸屏显示器,以帮助在最严格的IOT数据处理应用中提供在线生产设备的自动化和效率

Micro Edge数据中心的高性能计算存储服务器

可以在Micro Edge数据中心存储和管理来自数千个物联网传感器,网关和工业计算机的数据,以获得最大可访问性。高性能和密集的存储服务器在最重要时提供对任务关键数据的访问

为什么要为坚固的边缘电脑选择Premio

用于行业的Edge计算机的设计,工程和制造专业知识4.0自动化和远程移动应用程序中的IOT部署

  • 在坚固的计算解决方案,专注于可靠性和寿命的30多年的广泛设计专业知识备用yabovip
  • 热仿真室,以保证宽操作温度远程和移动边缘部署
  • 全局交钥匙制造和支持基础设施,以加速坚固的边缘计算解决方案中的可扩展群心部署备用yabovip
  • 长产品寿命周期以确保硬件可靠性
  • 深入了解IOT技术在设计,存储和连接为Edge Computing
  • 北美市场崎岖电脑的监管检测和合规选择

我们的合作伙伴

Premio是英特尔合作伙伴联盟计划的一部分,该计划提供特殊的半导体硅解决方案和强大的处理技术。备用yabovip作为Titanium的成员,Premio设计和制造从边缘到云的系统级计算解决方案。备用yabovip了解更多…

Premio是英伟达合作伙伴网络的一部分,为机器学习和人工智能提供最新技术的深入知识。经过验证,我们的加固边缘计算解决方案支持Nvidia备用yabovip计算、虚拟化和可视化产品组合中的企业性能加速卡(gpu)。亚博在体育官网入口了解更多…

Premio的Edge Computers认证为为其IoT网络提供更具集中性处理平台的开发人员运行AWS IOT GreenGrass。AWS IOT GreenGrass Empowers Edge计算机在本地上行动他们收集和生成的数据。了解更多…

预审边缘计算机的数据遥测连接到微软Azure物联网,使云服务的集合,连接,监测和控制物联网资产。了解更多…

常问问题

加固边缘计算用于支持在不稳定环境中需要实时、低延迟数据处理和存储的应用程序,而这些环境对普通桌面计算机不友好。

边缘计算的示例包括在沙漠中部署边缘计算机,以监控和控制油生产机械和设备。边缘计算机是部署到靠近数据生成的源代理的人,其中人必须做出决定。在该示例中,边缘计算机将从石油生产机械收集信息,并实时处理并分析它,使运营商能够做出快速决策。此外,边缘计算机可用于远程监控和控制石油和天然气生产资产。

另一个需要实时低延迟数据处理的应用程序是自治车辆,其中边缘计算机必须处理,分析和做出决策,只要少到第二毫秒。

坚固的边缘计算很重要,因为它带来了实时的、低延迟的计算和存储能力,更接近于在严酷环境下生成的数据,而普通的消费级台式电脑无法生存。一些应用,如自动驾驶车辆,机械设备的远程监控和控制,监视和安全,以及工厂自动化。边缘计算很重要,因为它使这些没有边缘计算就不可能实现的应用程序成为可能。这些应用程序通常需要实时数据处理和分析,依靠云数据是不可能的,因为时间旅行几千英里从原点设备和云通常需要几秒,这是太渴望需要实时决策的应用程序。此外,边缘计算很重要,因为随着数据生成物联网设备数量的持续增加,它减轻了云计算的负担。

  • 小型功率高效的计算架构两者都是多核CPU和GPU性能驱动加速器
  • 更快的内存和计算存储
  • 无线5G网络用于较低延迟的子毫秒数据处理,实时具有更多带宽和更快的连接
  • 简化工作负载合并和特定于应用程序的数据处理本地化的平衡

虽然边缘计算不是新的,因为自20世纪90年代中期以来,某些形式的边缘计算机用于存储,过程和分发数据。然而,最近,部署的边缘计算机数量有明显的增长,并且该数字仅预计将增长,因为推出了5G技术。行业领先的分析师估计,到2027年,优势计算市场的价值将是430亿美元。

边缘计算并没有取代云计算,相反,边缘计算是对云计算的补充和改进。边缘计算通过在边缘计算机上存储、处理和分析数据,只将触发特定触发器的数据发送到云端进行远程监控和分析,从而减轻了云计算的负担。这减轻了物联网设备数量持续增加给云计算带来的负担。主要的企业云计算公司,如微软的Azure和亚马逊的AWS,为设备控制和云连接提供仪表盘管理。

云计算包括提供计算服务,例如通过互联网进行存储和计算能力,允许用户在世界任何地方使用自己的计算机访问服务,而无需投资存储和处理数据所需的基础设施。

边缘

另一方面,边缘计算更加分散,涉及到在网络边缘部署边缘计算设备。边缘计算设备放置在数据生成源附近,以在本地处理数据。边缘计算使移动计算和物联网技术成为可能。

  1. 无处不在的智能(IOT +云+ AI) - 建模培训和推理工作负载分解并在数据见解可访问的新AI应用程序中分配和分发
  2. 边缘云计算(5G +云)——基站和云节点与端点通信以获取数据,但也仍然接近必要的计算能力和超可靠的延迟。为关键任务应用程序平衡工作负载
  3. 自主基础设施 - (5G + AI)自主权是一种经济和操作规模的手段。完全智能的自动化可以降低成本,降低风险,并防止不需要的停机时间。

实现实时决策和预测分析是工业运营中越来越战略的目标 - 通过快速的数字转型和跨越广泛的商业和制造应用程序的自动化升级的增长兴趣,这一目标是越来越战略的目标。坚固的边缘计算在这种景观中发挥着关键作用,基于各种传感器输入数据加速数据处理,并使访问和分析靠近数据源。例如,许多新的物联网应用的主要目标是提供超出人类能力或步伐的智能级别。在这些应用中,需要机器学习,但必须由专用硬件支持的专用硬件来处理和运行算法。