The participating partners brings four interesting industrial use-cases on Digital Twins (DTs), as follows.
In this use case, a set of interoperable DTs will be used to predict forest fires, their emergence, spreading, suppression and prevention. Wildfires are among the greatest disasters in today’s world, affecting the Earth's surface, atmosphere and inhabitants to its limits and causing gigantic ecologic and economic damage. In the I2DT project, a fuel database which can significantly enhance wildfire forecasting will be extracted from continually updating satellite data from open-source satellites, weather satellites, and potentially commercial satellites, and a DT enabling dynamic predictions of wildfire potential from real-time observations will be constructed. This creates a “twin” of wildfire risk at high resolution (~10m grid cells). The resulting database and twin will be available to fire suppression agencies, insurance companies, municipalities, and owners of infrastructure.
In the smart parking use case, physical and digital parking spaces will be connected. The increase in the number of vehicles and the lack of parking space are the major causes of traffic problems and fuel waste in cities. In order to solve the parking problem, it is necessary to provide optimal parking services through monitoring and analysis of parking lot conditions, traffic flow on surrounding roads, and occupancy of parking lots. The DT synchronizes physical parking lots and logical parking lots defined in DTs to enable integrated management. In addition, it minimizes parking inconvenience by cooperating with traffic systems and spatial information systems to share necessary information such as traffic congestion conditions, road-related regulations and policies in real time. This approach enables interoperability and federation of DTs with subsystems constituting a smart city.
Designing and commissioning of data centers involves different and heterogeneous sub-systems such as mechanical, electrical, cabling, cooling, security, environmental and facility safety, energy system, etc. In this use case, a federated interoperable DT capable of integrating big data and AI frameworks for managing the energy consumption of a large data centre will be developed. Energy optimization in cloud data centres reduces environmental impact and costs for cloud service users. Furthermore, the solution allows hosting multiple DTs in the same data centre, further interoperability features allow working in a federated manner.
The electric motorcycle segment has grown significantly in recent years due to technological advancements and the benefits they provide. However, there are problems that they solve in the sector, such as autonomy, the useful life of the battery, battery theft, and the origin and disposal of batteries. To address these issues, I2DT will develop a digital twin of an electric motorcycle that represents the most essential electrical and mechanical components to predict battery life, and maintenance after the warranty period expires, and recommend rides. Furthermore, the digital twin will enable the exchange of spare parts, such as a battery that can be used in multiple motorcycles; for this purpose, cybersecurity modules will be built into the digital twin architecture to perform these tasks in a convenient, safe, and transparent manner for the user. This will aid in preventing component theft, such as battery theft, because connecting a stolen battery to a motorcycle would cause a variation between the physical and virtual worlds.
With respect to the use of renewable energy, due to its geographical distribution and inaccessibility to certain points, the smart energy grid also poses a problem in terms of its management. Hence, more and more remote management systems are being deployed. The objective, in this regard, is to create interoperable model-based DTs to understand interactions in the grid. To achieve this, I2DT will apply machine/deep learning techniques to predict the quality of the system.
These use cases originated from real problems faced by our 14 partners.
| Cookie name | Active |
|---|
Our website address is: https://i2dt.org.
When visitors leave comments on the site (where enabled) we collect the data shown in the comments form, and also the visitor’s IP address and browser user agent string to help spam detection.
An anonymized string created from your email address (also called a hash) may be provided to the Gravatar service to see if you are using it. The Gravatar service privacy policy is available here: https://automattic.com/privacy/. After approval of your comment, your profile picture is visible to the public in the context of your comment.
If you upload images to the website, you should avoid uploading images with embedded location data (EXIF GPS) included. Visitors to the website can download and extract any location data from images on the website.
If you leave a comment on our site (where enabled), you may opt-in to saving your name, email address, and website in cookies. These are for your convenience so that you do not have to fill in your details again when you leave another comment. These cookies will last for one year.
If you visit our login page, we will set a temporary cookie to determine if your browser accepts cookies. This cookie contains no personal data and is discarded when you close your browser.
When you log in, we will also set up several cookies to save your login information and your screen display choices. Login cookies last for two days, and screen options cookies last for a year. If you select "Remember Me", your login will persist for two weeks. If you log out of your account, the login cookies will be removed.
If you edit or publish an article, an additional cookie will be saved in your browser. This cookie includes no personal data and simply indicates the post ID of the article you just edited. It expires after 1 day.
Articles on this site may include embedded content (e.g. videos, images, articles, etc.). Embedded content from other websites behaves in the exact same way as if the visitor has visited the other website.
These websites may collect data about you, use cookies, embed additional third-party tracking, and monitor your interaction with that embedded content, including tracking your interaction with the embedded content if you have an account and are logged in to that website.
If you request a password reset, your IP address will be included in the reset email.
If you leave a comment, the comment and its metadata are retained indefinitely. This is so we can recognize and approve any follow-up comments automatically instead of holding them in a moderation queue.
For users that register on our website (if any), we also store the personal information they provide in their user profile. All users can see, edit, or delete their personal information at any time (except they cannot change their username). Website administrators can also see and edit that information.
If you have an account on this site, or have left comments, you can request to receive an exported file of the personal data we hold about you, including any data you have provided to us. You can also request that we erase any personal data we hold about you. This does not include any data we are obliged to keep for administrative, legal, or security purposes.
Visitor comments may be checked through an automated spam detection service.