Senseye Predictive Maintenance: new features from the latest app update
Key points
Siemens is delighted to announce the launch of the latest version of Senseye Predictive Maintenance. Utilizing the latest advances in big data and AI technology, the app has transitioned from a custom-built tool to a streamlined, user-friendly platform that can be easily tailored to the specific requirements of the user.
Our core focus on intuitive design and accessibility ensures that users can easily access the powerful functionality of our system. This encompasses the ability to configure and monitor assets at a large scale, conduct real-time data pre-processing, and effectively direct users’ attention to the most critical information.
So, what’s new?
The new version of Senseye features several notable updates:
- A list-based interface with a split pane design, side menu, and collapsible panes.
- A single-page design that consolidates all charts in one place for quick reference.
- Customizable layout options that provide improved support for different screen sizes.
- Embedded widgets for instant overviews asset performance and team productivity.
- Enhanced reporting capabilities, allowing users to search, configure, and export asset performance data.
What does the Senseye Predictive Maintenance app do?
Senseye Predictive Maintenance offers a cloud-based platform designed to support large-scale asset monitoring. By utilizing custom AI algorithms, the platform effectively identifies both existing and potential issues, empowering maintainers to prevent malfunctions and unplanned downtime.
Accessible through any web browser on any device, the platform allows inspections to be conducted at any time and from anywhere, resulting in time savings and promoting a proactive maintenance approach. Its seamless integration into real-world workflows enables users to make informed decisions and optimize their operations.
Senseye Predictive Maintenance takes an asset-agnostic approach by automatically constructing models. This streamlines the work of maintenance teams, reduces the likelihood of unexpected outages, eliminates manual inspections, minimizes the need for excess spare parts, and prevents unnecessary over-maintenance.
Furthermore, the platform simplifies the configuration of assets at scale, making deployment easier than ever. Some companies have reported achieving a return on investment within just three months of deploying the platform.
What’s next?
As a scalable platform, Senseye Predictive Maintenance aims to continue growing in line with Siemens and its customers. With the platform already holding a global presence across several major organizations, our development team intend to seize every opportunity presented by the latest advancements in AI and the predictive maintenance space to continue shaping the future of production and manufacturing.
To find out more about Senseye Predictive Maintenance, visit the website here
Siemens Digital Industries
- https://www.sw.siemens.com/
- Sir William Siemens House Princess Road Manchester M20 2UR GB
