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MindSphere releases deliver advanced industrial IoT capabilities that bring the physical and digital worlds closer together.
Happy new year from everyone here on the MindSphere team. 2022 brings major enhancements to MindSphere such as democratized AI and machine learning capabilities, remote service applications, Private Cloud Premium packaging and much more.
This update includes many of the newest and most exciting capabilities from the most recent MindSphere releases:
To begin the release highlights, MindSphere unveiled its first artificial intelligence application for industrial IoT called AI for Everyone. The aim of this application is to reduce the technological barrier to powerful machine learning and AI tools. Now, everyone has the ability to leverage time-series data from IoT assets and create forecasts. This will allow your entire organization to make informed decisions on future actions.
AI for Everyone seamlessly integrates with the Operations Insight UI and enables immediate model building and forecast creation. The simplified machine learning engine configuration allows you to perform and scale your forecast and anomaly detection capabilities without hassle. With this accessible tool, it’s easy for you to implement essential use cases like quality management, production optimization, energy management and predictive/prescriptive maintenance.
Utilize the Operations Insight UI for immediate model building
Perform and scale your forecasting capabilities with ease
Next up in our highlights is the Premium package from the most recent release of MindSphere Private Cloud. The Premium package maximizes the value of IoT data by enabling advanced features and use cases of MindSphere. For example, applications such as Semantic Data Interconnect (SDI), closed-loop digital twin applications, Operations Insight Analytics and Predictive Learning can be used. Each of these applications brings specific features and capabilities:
As a part of this release, MindSphere took steps toward solving the challenge of siloed tools and systems. Disconnected tools can inhibit service engineers from anticipating issues and finding their root causes. To combat this, the Asset Health and Service Hub is designed as a single interface solution that remotely detects, analyzes and repairs anomalies in the field before they damage machines or disrupt operations. This solution improves collaboration and removes barriers to service management.
Single interface to remotely detect, analyze and repair anomalies
Manage tickets for open alarms and analyze service data systematically
Asset Health and Service Hub bundles condition analysis, remote service and ticketing to ensure high machine fleet availability. This helps you to make maintenance and service decisions and activities faster based on data-driven insights using remote services. A lightweight ticketing system provides transparent ticket lifecycle management tailored to the needs of remote service providers.
The new custom mapping functionality in Operations Insight allows you to customize how you interact, view, and navigate your assets. With custom mapping, upload specific maps and images to represent your assets and navigate through their hierarchy within MindSphere. This functionality can improve operational efficiency, organization and how you understand your entire fleet of assets. This can be seen below:
In addition, the Operations Insight SDK now allows you to implement a plugin concept to configure Operations Insight to your needs. Enable your developers to build and display plugins for various features in an asset or tenant context, as seen in the video below:
Navigate your plant hierarchy and create custom mappings of your assets’ physical location
Create and display plugins to meet your specific needs
Our last highlight of the most recent releases is the addition of native MQTT support. By supporting native MQTT, the industry-standard IoT messaging protocol, MindSphere reduces the time-to-value for IIoT solutions by accelerating asset connectivity. With zero-touch onboarding, reduce the operational burden of model creation with reusable and repeatable models. Create and publish models from the field and command agents with custom data. Securely exchange time series data between your devices and MindSphere with native MQTT support.
MindConnect connectivity options in 2021 were expanded and improved to facilitate a quicker start to your IIoT journey. More detailed documentation can be found in the hyperlinks below:
Extending connectivity to the edge is a major focus of our connectivity solution offerings. Our Edge Analytics application saw some powerful enhancements such as:
For complete details and availability on the new features of MindSphere and its supporting MindSphere releases, please refer to the MindSphere Releases Notes, MindSphere Region Table, and new features presentations offered for all.
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