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Vehicle Fleet Analytics
技术
- 分析与建模 - 大数据分析
- 分析与建模 - 预测分析
- 功能应用 - 车队管理系统 (FMS)
- 基础设施即服务 (IaaS) - 其他
适用行业
- 运输
适用功能
- 物流运输
用例
- 车队管理
挑战
组织经常使用基于时间和使用的维护计划来为其车队实施维护策略。虽然总体上是有效的,但基于时间和使用情况的时间表并未考虑驾驶模式、环境因素和当前部署在车辆内测量曲柄电压、点火电压和加速度的传感器,所有这些都对整体健康有重大影响的车辆。在典型的车队中,很大比例的道路呼叫与电气故障有关,电池故障是常见原因。电池故障会导致服务协议水平未达到,并需要昂贵的重新调整计划以提供替换车辆。为了减少计划外维护的影响,运输物流公司对 C3 Vehicle Fleet Analytics 的试用感兴趣。
客户
未公开
关于客户
运输和物流行业的全球性公司
解决方案
一家全球运输物流企业在不到一周的时间内完成了C3 Vehicle Fleet Analytics的试用,展示了在C3物联网平台上快速开发大数据预测分析应用的能力。该试验的范围是分析 10,000 辆具有历史维护记录和 3 年传感器数据的车辆。 C3 IoT 首先定义了数据模型来存储车辆和车辆传感器数据。使用基于元数据的 C3 类型系统,C3 IoT 快速定义了数据和规范对象模型以及将源对象转换为 C3 数据模型所需的转换。这使 C3 IoT 团队能够在一天内快速获取所有 10,000 辆汽车(约 1 TB)的传感器数据。此外,C3 IoT 基于车辆传感器数据定义了 26 个时间序列分析。然后将这些分析输入机器学习分类器以预测电池故障。在不到一周的工作时间内,C3 IoT 团队: • 为车辆操作开发了数据和规范对象模型 • 加载了 1 TB 的车辆和车辆传感器数据 • 开发了 25 个时间序列分析 • 定义并执行了一个机器学习分类器整个数据集来预测哪些车辆会出现电池故障
数量效益
相关案例.
Case Study
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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
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.
Case Study
Cold Chain Transportation and Refrigerated Fleet Management System
1) Create a digital connected transportation solution to retrofit cold chain trailers with real-time tracking and controls. 2) Prevent multi-million dollar losses due to theft or spoilage. 3) Deliver a digital chain-of-custody solution for door to door load monitoring and security. 4) Provide a trusted multi-fleet solution in a single application with granular data and access controls.
Case Study
3M Gains Real-Time Insight with Cloud Solution
The company has a long track record of innovative technology solutions. For example, 3M helps its customers optimize parking operations by automating fee collection and other processes. To improve support for this rapidly expanding segment, 3M needed to automate its own data collection and reporting. The company had recently purchased the assets of parking, tolling, and automatic license plate reader businesses, and required better insight into these acquisitions. Chad Reed, Global Business Manager for 3M Parking Systems, says, “With thousands of installations across the world, we couldn’t keep track of our software and hardware deployments, which made it difficult to understand our market penetration.” 3M wanted a tracking application that sales staff could use to get real-time information about the type and location of 3M products in parking lots and garages. So that it could be used on-site with potential customers, the solution would have to provide access to data anytime, anywhere, and from an array of mobile devices. Jason Fox, Mobile Application Architect at 3M, upped the ante by volunteering to deliver the new app in one weekend. For Fox and his team, these requirements meant turning to the cloud instead of an on-premises datacenter. “My first thought was to go directly to the cloud because we needed to provide access not only to our salespeople, but to resellers who didn’t have access to our internal network,” says Fox. “The cloud just seemed like a logical choice.”
Case Study
IoT Based Asset Tracking System
The existing system used by the customer could only track a few thousand assets and was able to generate only a few standard set of reports. As the number of assets tracked grew exponentially, the system started to break at the seams. The Tracking devices were from different manufacturers following different protocols. There was no proper integration among the devices to send instant alerts. There are thousands of tracking devices spread across multiple geographies, that are moving. The configuration and troubleshooting of these devices incurred heavy costs, which was a logistics challenge. The existing system did not provide sophisticated Analytics, Business Intelligence and Insights from the data