Powered by Digital Twin Technology
Table of Contents
Eigen Ingenuity, powered by Digital Twin Technology is a platform that connects on top of existing systems to link information together, provide context and a home for building new capabilities. Fuse information together from disparate systems to reveal new insights and speed up decision making.
With engineering reports, schematics, KPIs and other documentation scattered across disparate databases and filing cabinets, you need a bloodhound to find the information critical to your job. That’s where Eigen Ingenuity comes in.
Create digital dashboards that tie into your existing systems, even allowing digitisation of hard-copy assets, Eigen Ingenuity puts critical information at your fingertips. Pull together data sources from across your installation – SAP, Aveva, Power BI, Excel, OSISoft, etc. – into a single, easy-to-use, one-stop shop.
Call up information, create alerts, build graphs and charts, and share across your network as easily as online shopping. With the exclusive Mobile Search function, you can even delve into your data on-the-go via your tablet or smartphone. Eigen Ingenuity will shorten the time between looking and acting; and you can get back to being an amazing engineer.
Eigen Ingenuity Search
Find and interact with information from other systems.
A single search portal to find information across all your functional systems. The intuitive search function in Eigen Ingenuity means you can quickly find information in connected systems.
Ingenuity Data Model
Eigen Ingenuity has a flexible data model that stores the relationships between all your information. In one click you can find an object and then all the related information in other systems. For example, you can search for a tag and bring up Eigen’s unique Common Menu showing all the related information in other systems, such as documents, work orders, sensor data, spares and other equipment.
The Digital Data Model in Eigen Ingenuity provides all the contextual information you need to turn your existing 3D model into a fully integrated Digital Twin.
By providing REST APIs for other systems to access, users can access the data in other systems through just one interface with Eigen Ingenuity.
Access the Eigen Ingenuity Data Model from your 3D model or navigate to your 3D model directly from Eigen Ingenuity. Eigen Ingenuity allows you to separate the choice of 3D visualisation from the tag database and metadata store.
User trending and KPIs
Users can generate their own dashboards and reports using the comprehensive trending and KPI tools provided by the Eigen Ingenuity platform.
Select pre-configured examples or build your own from scratch. Use data from any connected timeseries or SQL source.
Eigen Ingenuity’s powerful online calculation module lets users create virtual data series on-the-fly.
Combine data from multiple sources in one virtual dataseries. It’s recursive too so you can build calculations from calculations. It has built in signal generators (Sin, Ramp, Saw etc.) and an intuitive ‘Drag and Drop’ UI.
Users can set limits and generate alerts just the same as ‘normal’ tags, or publish to an Alias for others to use.
User generated content
Users can easily create their own content and reports and share them with others.
The drag and drop UI lets you add diagrams, text sections, KPIs and charts.
Eigen Ingenuity is fully cloud native and runs in Docker. It can be deployed on-prem or in the cloud and is backed by the latest CI/CD processes.
book a demo
Find out more or book a demo with a member of the Eigen team:
Frequently Asked Questions
A Digital Twin is a collection of systems and information that together represent all the digitally stored knowledge and information about a ‘thing’ and the ways you can access and interact with that knowledge and information. It covers the systems that store the information as well as a Data Model that describes how this information is related. There is no one “Digital Twin” application but instead there are many applications that provide parts of it. For example Document Management, flow modelling, 3D modelling, work management, sensor data etc.
Many of these “functional systems” have always existed but the difference between a Digital Twin and the old way of just lots of separate functional applications is that with a Digital Twin a user can navigate across the information without necessarily having to know how to use the individual systems. A user can interact with the data and information at a higher level.
Digital Twin Technology is the layer of digital technology that combines the information in the separate functional systems and allows the user to interact with it or navigate across it. It covers the Data Model, the Visualisation tools, search, 3D model and web APIs that give access to this combined data for the development of other applications.
Digital Twins let you touch the Physical Asset less. In a perfect world it would be possible to do everything via the Digital Twin and only have to touch the physical asset to fix or replace something.
There are different ways to classify Digital Twins. One can classify according to the level of maturity (i.e. how comprehensive is the Digital Twin – does the Data Model cover all information or just certain aspects), or one can classify according to use case (for example Condition Monitoring or 3D modelling) and finally one can classify according to if it is online or offline (for example does it reflect the current status of everything now or is it used for offline “what if” analysis and planning).
The primary goal of a Digital Twin is to help you come to the right decision faster than you would without one. It should make it easier to find the right information across different systems; it should make it easier to interpret the meaning of diverse data sets; it should make it easier to see information in context and thus improve decision making; it should remove the need for sending people offshore for surveys; it should make it easier to plan work.
In reality Digital Twins are like humans – they need to start small and grow! To start with a Data Model is built for a use case and linked to the functional systems needed to deliver it. It can then be expanded over time. There are some quick wins you can make early on by importing common “well used” structures like equipment lists, systems, areas, documents, safety barriers, linking the 3D model.
Over time additional knowledge can be added to the data model, often in the form of relationships and ‘abstract objects’ that add richness and expand the applicability of the Digital Twin.
A Digital Twin needs several key ingredients:
* Source systems that contain verified true/high quality data
* A Data Model that stores how all the information is related with pointers to where it is stored
* A comprehensive search index so that users can find things quickly
* Different ways of access the Data Model and Search specific to use case.
- A simple search box
- Visually through the 3D model
- Contextually through workflow-specific applications
The term has been around for at least the last 6 years but you could make a very strong case that it’s been around for a lot longer than that. NASA built a lot of things that could be classed as Digital Twins for the Apollo project over 50 years ago.