HMS解决方案合作伙伴计划

利用您在HMS工业联接硬件方面的自动化和物联网(IoT)软件专业知识,将工业数据转化为最终客户价值。

解决方案合作伙伴聚焦:innius

通过HMS的Ewon Flexy连接到Innius,为Itho Daalderop提供了旧机器的工业物联网(IIoT)改造。

寻找您的HMS解决方案合作伙伴

HMS的解决方案合作伙伴可以通过在HMS工业硬件之上创建创新的IIoT软件解决方案来为您提供帮助,以进行性能监控,报告,分析,维护等。 得益于数字和物理系统之间的集成,更佳的可视性,更高的效率和更高的灵活性,从而可以使您做出更好的决策。 将您的数据转化为价值,同时仍然专注于您的核心业务。 使用下面的目录,找到适合您的HMS解决方案合作伙伴。

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Deutsche Telekom

Solutions for: Industrial IoT

Products represented: Ewon Flexy, HMS Hub

The Cloud of Things (CoT) is Deutsche Telekoms platform for the Internet of Things, enabling you to remotely monitor, manage and control your networked devices and machines. 

Deutsche Telekom is one of the world's leading integrated telecommunications companies, with some 178 million mobile customers, 28 million fixed-network lines, and 20 million broadband lines.

It provides fixed-network/broadband, mobile communications, Internet, and IPTV products and services for consumers, and information and communication technology (ICT) solutions for business and corporate customers. Deutsche Telekom is present in more than 50 countries. With a staff of some 216,000 employees throughout the world, it generated revenue of 75,7 billion Euros in the 2018 financial year, about 66 percent of it outside Germany.

CLOUD OF THINGS – IIOT Platform 

The Cloud of Things (CoT) is Deutsche Telekoms platform for the Internet of Things, enabling you to remotely monitor, manage and control your networked devices and machines. Plug in your devices, configure your dashboards, and you're ready to go. The Cloud of Things collects the decentralized sensor data of your machines for you in real time, evaluates them and prepares them clearly.

 

Telecom-HMS-overview

 

An intuitive web portal gives you an optimal overview of your measurement data, like temperature, pressure, position and may more, at any time.

This increases the efficiency of your systems and reduces downtimes and costs through predictive maintenance. The CoT feature called Anomaly Detection allows you to get started quickly with predefined models and algorithms - even without Data Analysts.


 

Learn more by visiting Telekom's website!

Click here

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