Establish IIoT processes with digital twins

The technical potential of the Industrial Internet of Things (IIoT) enables your company to operate more efficiently and competitively. Here, digital twins play a key role. As a virtual representation of a physical object in the field, they include all information generated during the life cycle of an asset. This applies to internal operating resources, but also to manufactured products. With the digital twin module, CONTACT Elements for IoT provides an in-depth digital twin model. It allows you to map physically complex industrial plants.

Benefits

  • Integrate physical devices into business processes by connecting IT and OT systems
  • Create and manage complete digital profiles of owned and sold assets
  • Initiate process and product improvements with the help of live and operational data
  • Optimize equipment availability and maintenance costs with digital asset management
  • Increase customer loyalty and revenue with new or improved services

Integrate physical devices into your business processes

Iot architecture model: The digital twin is at the heart of the operating system for smart business models

The Digital Twin module allows you to connect operational technology and enterprise IT. Digital twins of physical products can be created automatically based on data from product development (parts lists, geometric models, etc.) and linked with field data (construction statutes, measurement data, maintenance history, etc.), software configurations, and data from your enterprise systems. This is the basis for integrating physical devices into business processes, automating workflows, and reducing response times.

Integrate physical devices into your business processes

The Digital Twin module allows you to connect operational technology and enterprise IT. Digital twins of physical products can be created automatically based on data from product development (parts lists, geometric models, etc.) and linked with field data (construction statutes, measurement data, maintenance history, etc.), software configurations, and data from your enterprise systems. This is the basis for integrating physical devices into business processes, automating workflows, and reducing response times.

Iot architecture model: The digital twin is at the heart of the operating system for smart business models

The Digital Twin module allows you to connect operational technology and enterprise IT. Digital twins of physical products can be created automatically based on data from product development (parts lists, geometric models, etc.) and linked with field data (construction statutes, measurement data, maintenance history, etc.), software configurations, and data from your enterprise systems. This is the basis for integrating physical devices into business processes, automating workflows, and reducing response times.

Create a database for profound decisions

With the information from a digital twin, you make decisions based on real-time data and key performance indicators. You use insight objects to summarize information in ‘insight packages’ which you can share and analyze with colleagues. This allows your team to use solid facts to discuss improvements along the value chain, such as the optimization of production processes or functional adjustments to products (closed-loop engineering).

Create a database for profound decisions

With the information from a digital twin, you make decisions based on real-time data and key performance indicators. You use insight objects to summarize information in ‘insight packages’ which you can share and analyze with colleagues. This allows your team to use solid facts to discuss improvements along the value chain, such as the optimization of production processes or functional adjustments to products (closed-loop engineering).

With the information from a digital twin, you make decisions based on real-time data and key performance indicators. You use insight objects to summarize information in ‘insight packages’ which you can share and analyze with colleagues. This allows your team to use solid facts to discuss improvements along the value chain, such as the optimization of production processes or functional adjustments to products (closed-loop engineering).

Optimize your internal asset management

Digital Twins für Monitoring und Analytics nutzen: den Zustand von Assets überwachen und Veränderungen as maintained abbilden

Digital Twin allows you to create detailed profiles of physically complex devices and precisely describe the associated hierarchy levels (components, etc.). The profiles contain all data along the product life cycle: from the history to the current status in the field. You precisely map device-specific properties and changes in field operation. For example, they document damage, replacement parts or attachments and thus reflect the ‘as maintained’ status. Based on this, you organize your maintenance management more efficiently. The availability of your systems increases, and your maintenance costs decrease.

Optimize your internal asset management

Digital Twin allows you to create detailed profiles of physically complex devices and precisely describe the associated hierarchy levels (components, etc.). The profiles contain all data along the product life cycle: from the history to the current status in the field. You precisely map device-specific properties and changes in field operation. For example, they document damage, replacement parts or attachments and thus reflect the ‘as maintained’ status. Based on this, you organize your maintenance management more efficiently. The availability of your systems increases, and your maintenance costs decrease.

Digital Twins für Monitoring und Analytics nutzen: den Zustand von Assets überwachen und Veränderungen as maintained abbilden

Digital Twin allows you to create detailed profiles of physically complex devices and precisely describe the associated hierarchy levels (components, etc.). The profiles contain all data along the product life cycle: from the history to the current status in the field. You precisely map device-specific properties and changes in field operation. For example, they document damage, replacement parts or attachments and thus reflect the ‘as maintained’ status. Based on this, you organize your maintenance management more efficiently. The availability of your systems increases, and your maintenance costs decrease.

Transform your customer service

Benutzeroberfläche von CONTACT Elements Digital Twin

With Digital Twin, you visualize internal resources and your manufactured products. This gives you an insight into how customers use and interact with the product. These insights are the foundation for improved maintenance and servicing processes, personalized products, and new services. Examples of this include usage-based licenses or, if you use machine learning and analytics, predictive maintenance models. This allows you to reduce downtimes and optimize system efficiency and spare parts planning. Your company strengthens customer loyalty, increases revenue per customer, and prevents third-party providers from entering the market.

Transform your customer service

With Digital Twin, you visualize internal resources and your manufactured products. This gives you an insight into how customers use and interact with the product. These insights are the foundation for improved maintenance and servicing processes, personalized products, and new services. Examples of this include usage-based licenses or, if you use machine learning and analytics, predictive maintenance models. This allows you to reduce downtimes and optimize system efficiency and spare parts planning. Your company strengthens customer loyalty, increases revenue per customer, and prevents third-party providers from entering the market.

With Digital Twin, you visualize internal resources and your manufactured products. This gives you an insight into how customers use and interact with the product. These insights are the foundation for improved maintenance and servicing processes, personalized products, and new services. Examples of this include usage-based licenses or, if you use machine learning and analytics, predictive maintenance models. This allows you to reduce downtimes and optimize system efficiency and spare parts planning. Your company strengthens customer loyalty, increases revenue per customer, and prevents third-party providers from entering the market.

Energy management with digital twins

Preview image for the technical article "Increasing yield with digital twins".

With the data from a digital twin, companies can increase the efficiency of energy-intensive production facilities. Especially when they also use AI. In this technical article, Dr Nicole Göckel and Johann Heinrich explain the added value of this combination for energy management in companies based on the example of the research project WindIO.

Energy management with digital twins

With the data from a digital twin, companies can increase the efficiency of energy-intensive production facilities. Especially when they also use AI. In this technical article, Dr Nicole Göckel and Johann Heinrich explain the added value of this combination for energy management in companies based on the example of the research project WindIO.

Preview image for the technical article "Increasing yield with digital twins".

With the data from a digital twin, companies can increase the efficiency of energy-intensive production facilities. Especially when they also use AI. In this technical article, Dr Nicole Göckel and Johann Heinrich explain the added value of this combination for energy management in companies based on the example of the research project WindIO.

Additional use cases for the digital twin

Related Elements

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Combine PLM and IoT into an innovative closed-loop process

Targeted improvement of products based on operational and usage data

Use tickets and classification to feed field data into the development process

Implement and document technical changes quickly

Operate industrial plants cost-effectively and increase production quality

Use data science and analytics as the basis for data-driven processes

Process large amounts of data automatically

Automate condition monitoring and minimize downtime

Enable complex analyses with templates at the push of a button 

Keep assets in view with dashboards and manage them securely with key performance indicators

Easy integration of devices – use operating data to create added value

Easily record, connect and remotely control device fleets

Optimize maintenance processes and extend service life

Generate added value by expanding machines

Monitor the network status of IoT gateways

Perform software updates for fleets in a single step

Increase customer satisfaction with digital services for your products

Digitalize service processes from offer to invoice

Increase service business with best practice templates

Easily manage services for a wide range of customers

Improve customer loyalty with pay-per-use business models