Elena Canorea
Communications Lead
Digital Twins have been positioned for several years as one of the main technologies destined to revolutionize Industry 4.0 trends. Companies from very different sectors can take advantage of Digital Twins to obtain more accurate products, reduce costs or predict possible errors.
Below, we explain what an industrial digital twin is and how to apply it to your sector through the most cutting-edge technologies of the moment.
Digital Twins are digital replicas of objects, spaces, physical systems, or processes. Everything is susceptible to having an artificial representation, and the digital twin is in charge of truthfully showing the operation, response, and behavior of its ‘real’ counterpart thanks to the combination of physical and virtual data.
One of its original examples was found a decade ago in NASA’s Digital Twins and the large-scale representations of its space capsules used to simulate all kinds of scenarios from a safe environment.
By using Digital Twins, companies have several benefits:
To ‘manufacture’ one of these Digital Twins, one of the bases is a large amount of data, not only of the physical object but also of its environment. The more data there is, the more accurate the model will be.
For example, if we are going to create a digital twin of a building under construction, we will not only have to represent it, but also factors that influence its surroundings, such as wind speed, and the stability of the land on which it would be built or pollution levels. With this data collection, we would have a digital image that would help to build: what would be the ideal materials to build it, with what orientation to do it, what external agents could affect the facade…
The Digital Twin is visualized using 3D and Augmented Reality models. Data can be collected from previous large databases or through sensors: the expansion of the Internet of Things (IoT) helps.
As we have just seen, Digital Twins are very useful for the construction sector, but they are not the only example.
A digital twin can also serve as a prototype of a physical product; it is what is known as a Digital Twin Prototype (DTP), and would serve to see, through bits, how a product works before we get our hands on it. On the other hand, the DTI (Digital Twin Instance) is a model for testing the physical product already launched.
Finally, the DTA (Digital Twin Agreggate) obtains data from the DTI that is used to improve the physical product.
In addition to the construction sector, Digital Twins can be applied in sectors such as aeronautics and aerospace: as we saw at the beginning, NASA used these models to simulate the operation of its spacecraft.
There can also be ‘human’ Digital Twins, ideal for the healthcare sector. They can be used to test operations or products before testing them on a person.
The educational sector can also use them for simulations. For example, to pilot airplanes, ships, or other means of transport.
On the other hand, the marketing departments of any company can make use of Digital Twins to show products to customers. This would give a new dimension to traditional promotional campaigns.
We are living a change of era with the so-called Industry 4.0. A concept driven by the use of the latest technologies and focused on generating a business culture based on continuous improvement and constant innovation. A utopian goal until the emergence of the Internet of Things or IoT, which is generating a scenario full of possibilities for all types of industries.
The incorporation of sensors in products and assets has opened up access to huge amounts of data and has created the basis for Digital Twins. In addition, technologies such as Big Data, Cloud, and Augmented or Virtual Reality have enhanced their functionalities.
The connectivity of devices and sensors, homogenization, reprogramming, deployment and management of sensors or volumes of information represent the major challenges in this type of project. But these are no longer insurmountable challenges. As the Internet of Things becomes part of our environment, Digital Twins become the cornerstone of any industrial automation process.
This is the case, for example, of our collaboration with Acciona, a world leader in renewable energies, which promoted the creation of a digital twin of one of the largest solar plants in the world, with the aim of improving its efficiency and management. After developing a supervisory control and data acquisition system, we obtained real-time control of more than 48,000 alarms and 42,000 variables, which made it possible:
Today, it is already possible to access a digital visualization of the detailed status of an entire plant and its component elements. It is also possible to equip the Digital Twins with Machine Learning so that they can learn and react autonomously. It is no longer a matter of collecting data. It is about managing it and learning from it.
In the scenario generated by Digital Twins, consisting of the physical world and the digital world, it is possible to analyze all kinds of data. Digital Twins integrate artificial intelligence, machine learning, advanced analytics, and spatial networks, and incorporate data obtained through the use of sensors; thereby promoting preventive/predictive maintenance and offering the possibility of testing the response of assets in scenarios of all kinds while avoiding destructive testing.
We help you to create your own Digital Twins
As you have seen in the videos above, at Plain Concepts we have organized several webinars on the advantages and challenges of Digital Twins, thanks to our experience with these tools and the technologies of Mixed Reality, Big Data, and IoT.
Now, we want to help you put them into practice in your company. We create with you the best Digital Twins to test your products.
Elena Canorea
Communications Lead
Cookie | Duration | Description |
---|---|---|
__cfduid | 1 year | The cookie is used by cdn services like CloudFare to identify individual clients behind a shared IP address and apply security settings on a per-client basis. It does not correspond to any user ID in the web application and does not store any personally identifiable information. |
__cfduid | 29 days 23 hours 59 minutes | The cookie is used by cdn services like CloudFare to identify individual clients behind a shared IP address and apply security settings on a per-client basis. It does not correspond to any user ID in the web application and does not store any personally identifiable information. |
__cfduid | 1 year | The cookie is used by cdn services like CloudFare to identify individual clients behind a shared IP address and apply security settings on a per-client basis. It does not correspond to any user ID in the web application and does not store any personally identifiable information. |
__cfduid | 29 days 23 hours 59 minutes | The cookie is used by cdn services like CloudFare to identify individual clients behind a shared IP address and apply security settings on a per-client basis. It does not correspond to any user ID in the web application and does not store any personally identifiable information. |
_ga | 1 year | This cookie is installed by Google Analytics. The cookie is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report. The cookies store information anonymously and assign a randomly generated number to identify unique visitors. |
_ga | 1 year | This cookie is installed by Google Analytics. The cookie is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report. The cookies store information anonymously and assign a randomly generated number to identify unique visitors. |
_ga | 1 year | This cookie is installed by Google Analytics. The cookie is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report. The cookies store information anonymously and assign a randomly generated number to identify unique visitors. |
_ga | 1 year | This cookie is installed by Google Analytics. The cookie is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report. The cookies store information anonymously and assign a randomly generated number to identify unique visitors. |
_gat_UA-326213-2 | 1 year | No description |
_gat_UA-326213-2 | 1 year | No description |
_gat_UA-326213-2 | 1 year | No description |
_gat_UA-326213-2 | 1 year | No description |
_gid | 1 year | This cookie is installed by Google Analytics. The cookie is used to store information of how visitors use a website and helps in creating an analytics report of how the wbsite is doing. The data collected including the number visitors, the source where they have come from, and the pages viisted in an anonymous form. |
_gid | 1 year | This cookie is installed by Google Analytics. The cookie is used to store information of how visitors use a website and helps in creating an analytics report of how the wbsite is doing. The data collected including the number visitors, the source where they have come from, and the pages viisted in an anonymous form. |
_gid | 1 year | This cookie is installed by Google Analytics. The cookie is used to store information of how visitors use a website and helps in creating an analytics report of how the wbsite is doing. The data collected including the number visitors, the source where they have come from, and the pages viisted in an anonymous form. |
_gid | 1 year | This cookie is installed by Google Analytics. The cookie is used to store information of how visitors use a website and helps in creating an analytics report of how the wbsite is doing. The data collected including the number visitors, the source where they have come from, and the pages viisted in an anonymous form. |
attributionCookie | session | No description |
cookielawinfo-checkbox-analytics | 1 year | Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Analytics" category . |
cookielawinfo-checkbox-necessary | 1 year | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-necessary | 1 year | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-non-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Non Necessary". |
cookielawinfo-checkbox-non-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Non Necessary". |
cookielawinfo-checkbox-non-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Non Necessary". |
cookielawinfo-checkbox-non-necessary | 1 year | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Non Necessary". |
cookielawinfo-checkbox-performance | 1 year | Set by the GDPR Cookie Consent plugin, this cookie is used to store the user consent for cookies in the category "Performance". |
cppro-ft | 1 year | No description |
cppro-ft | 7 years 1 months 12 days 23 hours 59 minutes | No description |
cppro-ft | 7 years 1 months 12 days 23 hours 59 minutes | No description |
cppro-ft | 1 year | No description |
cppro-ft-style | 1 year | No description |
cppro-ft-style | 1 year | No description |
cppro-ft-style | session | No description |
cppro-ft-style | session | No description |
cppro-ft-style-temp | 23 hours 59 minutes | No description |
cppro-ft-style-temp | 23 hours 59 minutes | No description |
cppro-ft-style-temp | 23 hours 59 minutes | No description |
cppro-ft-style-temp | 1 year | No description |
i18n | 10 years | No description available. |
IE-jwt | 62 years 6 months 9 days 9 hours | No description |
IE-LANG_CODE | 62 years 6 months 9 days 9 hours | No description |
IE-set_country | 62 years 6 months 9 days 9 hours | No description |
JSESSIONID | session | The JSESSIONID cookie is used by New Relic to store a session identifier so that New Relic can monitor session counts for an application. |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
viewed_cookie_policy | 1 year | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
viewed_cookie_policy | 1 year | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
VISITOR_INFO1_LIVE | 5 months 27 days | A cookie set by YouTube to measure bandwidth that determines whether the user gets the new or old player interface. |
wmc | 9 years 11 months 30 days 11 hours 59 minutes | No description |
Cookie | Duration | Description |
---|---|---|
__cf_bm | 30 minutes | This cookie, set by Cloudflare, is used to support Cloudflare Bot Management. |
sp_landing | 1 day | The sp_landing is set by Spotify to implement audio content from Spotify on the website and also registers information on user interaction related to the audio content. |
sp_t | 1 year | The sp_t cookie is set by Spotify to implement audio content from Spotify on the website and also registers information on user interaction related to the audio content. |
Cookie | Duration | Description |
---|---|---|
_hjAbsoluteSessionInProgress | 1 year | No description |
_hjAbsoluteSessionInProgress | 1 year | No description |
_hjAbsoluteSessionInProgress | 1 year | No description |
_hjAbsoluteSessionInProgress | 1 year | No description |
_hjFirstSeen | 29 minutes | No description |
_hjFirstSeen | 29 minutes | No description |
_hjFirstSeen | 29 minutes | No description |
_hjFirstSeen | 1 year | No description |
_hjid | 11 months 29 days 23 hours 59 minutes | This cookie is set by Hotjar. This cookie is set when the customer first lands on a page with the Hotjar script. It is used to persist the random user ID, unique to that site on the browser. This ensures that behavior in subsequent visits to the same site will be attributed to the same user ID. |
_hjid | 11 months 29 days 23 hours 59 minutes | This cookie is set by Hotjar. This cookie is set when the customer first lands on a page with the Hotjar script. It is used to persist the random user ID, unique to that site on the browser. This ensures that behavior in subsequent visits to the same site will be attributed to the same user ID. |
_hjid | 1 year | This cookie is set by Hotjar. This cookie is set when the customer first lands on a page with the Hotjar script. It is used to persist the random user ID, unique to that site on the browser. This ensures that behavior in subsequent visits to the same site will be attributed to the same user ID. |
_hjid | 1 year | This cookie is set by Hotjar. This cookie is set when the customer first lands on a page with the Hotjar script. It is used to persist the random user ID, unique to that site on the browser. This ensures that behavior in subsequent visits to the same site will be attributed to the same user ID. |
_hjIncludedInPageviewSample | 1 year | No description |
_hjIncludedInPageviewSample | 1 year | No description |
_hjIncludedInPageviewSample | 1 year | No description |
_hjIncludedInPageviewSample | 1 year | No description |
_hjSession_1776154 | session | No description |
_hjSessionUser_1776154 | session | No description |
_hjTLDTest | 1 year | No description |
_hjTLDTest | 1 year | No description |
_hjTLDTest | session | No description |
_hjTLDTest | session | No description |
_lfa_test_cookie_stored | past | No description |
Cookie | Duration | Description |
---|---|---|
loglevel | never | No description available. |
prism_90878714 | 1 month | No description |
redirectFacebook | 2 minutes | No description |
YSC | session | YSC cookie is set by Youtube and is used to track the views of embedded videos on Youtube pages. |
yt-remote-connected-devices | never | YouTube sets this cookie to store the video preferences of the user using embedded YouTube video. |
yt-remote-device-id | never | YouTube sets this cookie to store the video preferences of the user using embedded YouTube video. |
yt.innertube::nextId | never | This cookie, set by YouTube, registers a unique ID to store data on what videos from YouTube the user has seen. |
yt.innertube::requests | never | This cookie, set by YouTube, registers a unique ID to store data on what videos from YouTube the user has seen. |