DeepLynx: Transformative Data Integration Hub for Digital Engineering in Megaprojects

TECHNOLOGY LICENSING OPPORTUNITY DeepLynx: Transformative Data Integration Hub for Digital Engineering in Megaprojects DeepLynx is a pioneering digital engineering integration framework that streamlines data connectivity across design, procurement, construction, and operations systems, reducing risk and enhancing efficiency in megaproject management and digital twins. DeepLynx connects disparate data sources and can act as a foundation to digital twins Overview: Megaprojects often suffer from significant delays and cost overruns due to the complexity of managing vast amounts of data across disconnected systems. DeepLynx addresses this challenge by providing a seamless integration platform that connects siloed engineering tools, enabling real-time data exchange and minimizing the occurrence of silent errors that can cascade through the design phase. This leads to better control and risk management during construction and operations, ensuring projects adhere to budget and schedule. Description: DeepLynx serves as a digital engineering integration hub that employs web connections through TCP REST interfaces to facilitate live data transfer within the digital engineering ecosystem. Its capabilities are enhanced by full-featured authentication and authorization mechanisms for handling sensitive information and the ability to leverage cloud and high-performance computing resources. With applications ranging from nuclear to renewable energy sectors, DeepLynx incorporates data integration and analytics, allowing for sophisticated monitoring and predictive insights during project execution. Benefits: Unified Data Framework: Centralizes data exchange, reducing manual transfer errors and rework . Risk Mitigation: Lowers the chance of cascading design errors and their costly consequences . Flexibility and Scalability: Adapts to various project scales, from nuclear plants to biofuel and geothermal facilities . Advanced Analytics Integration: Employs machine learning and AI for predictive and real-time analysis . Cost Efficiency: Significantly cuts the expenses associated with first-of-a-kind construction and design rework. Asset Optimization and Control: Enables technologies like digital twins to predict performance and detect anomalies. Applications: Management of nuclear repositories and waste facilities. Integration with advanced scientific equipment for high-fidelity simulations. Real-world application in large-scale programs like transformational reactors and national security initiatives. Training and utilization of digital engineering techniques in various energy sectors. Access: https://github.com/idaholab/Deep-Lynx IP Status: Copyright asserted on software titled “Deep Lynx: Digital Engineering Integration Hub,” BEA Docket No. CW-20-09. Partner with Idaho National Laboratory (INL) for Access to Pioneering Technology and Mutual Growth Managed by Battelle Energy Alliance, LLC, INL offers unique opportunities for businesses to access and license advanced technology. Our agreements are tailored to provide flexibility and affordability, particularly supporting small businesses in their growth and innovation endeavors. By licensing our intellectual property, you not only gain access to groundbreaking technology but also contribute to economic development and public welfare. We invite you to explore our technology portfolio, designed to give your organization a competitive edge in the market. Learn more about our licensing opportunities and the support we provide at: https://inl.gov/inl-initiatives/technology-deployment . For specific discussions on how your business can benefit, please contact Andrew Rankin at [email protected] . INL’s Technology Deployment department focuses exclusively on licensing intellectual property and partnering with industry collaborators capable of commercializing our innovations. Our goal is to commercialize the technologies developed by INL researchers. We do not engage in purchasing, manufacturing, procurement decisions, or providing funding. Additionally, this is not a call for external services to assist in the development of this technology.