{"id":6806,"date":"2025-03-28T09:33:47","date_gmt":"2025-03-28T09:33:47","guid":{"rendered":"https:\/\/www.lcm.at\/digital-twin\/"},"modified":"2026-02-26T11:28:14","modified_gmt":"2026-02-26T11:28:14","slug":"digital-twin","status":"publish","type":"page","link":"https:\/\/www.lcm.at\/en\/services\/modeling-and-analysis\/digital-twin\/","title":{"rendered":"Digital twin"},"content":{"rendered":"\t
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\n\t\t\t\t\t\t\tDigital twin\t\t\t\t\t\t\t\t\t\t\t\t\t<\/h1>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t

Virtual images for precise analysis and optimization<\/p>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\n\n\n

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Increased efficiency through virtual models<\/h2>\n\n\n\n

The digital twin is a powerful tool that depicts real objects, processes or systems as virtual models. This enables the precise monitoring and simulation of scenarios in real time in order to make well-founded decisions. With the digital twin, companies can increase their efficiency and continuously optimize their operational processes. <\/p>\n\n\n\n

Thanks to state-of-the-art technologies, these virtual models are regularly updated with data from the real world so that an accurate picture of the current status is always available. This opens up new possibilities for process analysis, early fault detection and testing changes without affecting the real systems. The digital twin helps to optimize maintenance strategies and extend the service life of machines and systems. <\/p>\n\n\n\n

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Your advantages<\/mark> with digital twins<\/h2>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t
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Real-time monitoring<\/h3>\n\t\t\n\t
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\n\t\t\tThe digital twin enables the continuous monitoring of machines and processes in real time. By integrating real-time data, adjustments can be made immediately to increase performance and efficiency. Malfunctions are detected at an early stage and rectified quickly. \t\t<\/p>\n\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t

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Validated process models<\/h3>\n\t\t\n\t
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\n\t\t\tMathematical models can be used to calculate non-measurable process variables and predict future process sequences. Validated process models allow plant operation to be optimized in the simulation, without risk and without the time restrictions that are always present in tests on real plants. \t\t<\/p>\n\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t

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Optimized maintenance<\/h3>\n\t\t\n\t
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\n\t\t\tWith a digital twin, maintenance processes can be designed more precisely and efficiently. Simulations and data analyses can be used to determine the best times for maintenance work and reduce unplanned downtime. This leads to a longer service life and lower operating costs. \t\t<\/p>\n\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t

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Risk minimization<\/h3>\n\t\t\n\t
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\n\t\t\tBy simulating scenarios in the digital twin, potential risks can be identified and assessed in advance. This allows companies to take proactive measures before real problems occur. This helps to minimize downtimes and increases operational reliability. \t\t<\/p>\n\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t

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