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Complete Observability of IoT Systems
技术
- 分析与建模 - 实时分析
- 处理器与边缘智能 - 嵌入式和边缘计算机
适用行业
- 城市与自治市
- 运输
适用功能
- 物流运输
- 维护
用例
- 边缘计算与边缘智能
- 实时定位系统 (RTLS)
- 车载远程信息处理
服务
- 云规划/设计/实施服务
- 数据科学服务
- 系统集成
挑战
Automotus 是一家路边管理公司，其 IoT 设备和扩展云资源面临挑战。他们需要一个强大的监控解决方案，以便能够查看其 IoT 设备以及扩展云资源。事实证明，他们手动和被动的监控方法效率低下。他们无法收集重要的硬件指标，例如网络吞吐量、I/O 负载和内存，这意味着他们经常错过设备性能下降的最初迹象。如果他们的设备停止发送消息，他们就不得不通过 SSH 进入系统并手动对日志进行分类，这是一个极其耗时的过程，需要所有人参与。他们也无法查看对其系统至关重要的管理和后端服务，例如 AWS IoT Core。由于缺乏一个集中式平台来查看和分析这些数据，这些问题变得更加严重。由此产生的盲点阻碍了他们的故障排除过程，他们只能祈祷一切顺利。
关于客户
Automotus 是一家路边管理公司，利用在边缘设备上运行的计算机视觉软件帮助城市、车队和企业增加收入，同时减少街道拥堵、提高可持续性和公平性。Automotus 业务的核心依赖于物联网设备，如果这些设备出现故障，他们的业务就会陷入停滞。因此，Automotus 必须全面了解这些设备的运行状况和性能，以及支持它们的下游应用程序和服务。Automotus 的首席技术官兼联合创始人 Harris Lummis 认识到了这一需求，并开始为 Automotus 不断发展的物联网系统寻找全面的监控解决方案。
解决方案
Automotus 决定联系 Trek10，它是 Datadog 的黄金级合作伙伴，也是一家专注于 AWS 的服务提供商，在下一代基础设施方面拥有专业知识。通过与 Trek10 的对话，Automotus 首次意识到 Datadog 的最低开销、低维护的 IoT 监控方法可以如何改变他们的工程组织。Datadog 的 IoT 代理与 AWS IoT Core 等技术的 IoT 集成，使他们能够查看来自基于 NVIDIA Jetson 的设备的关键性能数据以及来自整个 IoT 生态系统的指标、跟踪和日志。此外，Datadog 的统一平台使他们能够消除盲点并简化故障排除流程，从而使他们的工程师有更多时间构建和增强他们的核心产品。在 Trek10 的帮助下，Automotus 能够立即加入并加速使用 Datadog。Trek10 将 Datadog IoT 代理部署到 Automotus 的设备，并启用他们所依赖的 AWS 服务的集成，使他们能够前所未有地了解整个系统。
运营影响
数量效益
相关案例.
Case Study
Turning A Stadium Into A Smart Building
Honeywell created what it called the “intelligent system” for the National Stadium in Beijing, China, turning the venue for the opening and closing events at the 2008 Summer Olympics into a “smart building.” Designed by highly controversial artist Ai Weiwei, the “Bird’s Nest” remains one of the most impressive feats of stadium architecture in the world. The 250,000 square meter structure housed more than 100,000 athletes and spectators at a time. To accommodate such capacity, China turned to Honeywell’s EBI Integrated Building Management System to create an integrated “intelligent system” for improved building security, safety and energy efficiency.
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Case Study
Smart Street Light Network (Copenhagen)
Key stakeholders are taking a comprehensive approach to rethinking smart city innovation. City leaders have collaborated through partnerships involving government, research institutions and solution providers. The Copenhagen Solutions Lab is one of the leading organizations at the forefront of this movement. By bringing together manufacturers with municipal buyers, the Copenhagen Solutions Lab has catalyzed the development and deployment of next-generation smart city innovations. Copenhagen is leveraging this unique approach to accelerate the implementation of smart city solutions. One of the primary focus areas is LED street lighting.
Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Buoy Status Monitoring with LoRa
The Netherlands are well-known for their inland waterways, canals, sluices and of course port activities. The Dutch Ministry of Infrastructure indicates that there are thousands of buoys and fixed items in and near water environments that would profit from IoT monitoring. One of the problems with buoys for example, is that they get hit by ships and the anchor cable breaks. Without connectivity, it takes quite some time to find out that something has happened with that buoy. Not to mention the costs of renting a boat to go to the buoy to fix it. Another important issue, is that there is no real-time monitoring of the buoys at this moment. Only by physically visiting the object on the water, one gains insight in its status.
