DIGITAL TWIN Data platform for Plants

DIGITAL TWIN Data platform for Plants yra paremtas PINE Consulting & Integration

PINE C&I yra duomenų skaičiavimo sprendimų teikėjas, kurio specializacija yra masinio masto heterogeninių duomenų konsolidavimas ir analizė. Mūsų sprendimai pagreitina skaitmeninę transformaciją, sukurdami tvarią duomenimis pagrįstą aplinką pažangiausioms technologijoms, tokioms kaip AI, skaitmeniniai dvyniai, metaversas ir kt. Naudodamiesi savo kompetencija ir sprendimais sukūrėme skaitmeninę dviejų duomenų platformą didelio masto jėgainėms ir sėkmingai įdiegėme savo platformą atominėse elektrinėse Pietų Korėjoje.

Atraskite PINE Consulting & Integration

Kodėl DT platform for intuitive monitoring & operation assistance?

The plant industry is facing complicated DX due to a conventional paper-based workflow and data silos that hinder real-time data consolidation, analysis, and visualization. But the demand for DX continues to grow, emphasizing the need for effective real-time data consolidation methods. The DT platform supports optimal DX for plants, enabling intuitive monitoring, predictive diagnostics, preventive maintenance, and assistance via digital twin.

Privalumai

Enables prompt decision-making and enhances work efficiency via real-time onsite situations streaming and automated operation assistance
Minimizes downtime and maximizes safety by enabling early detection of accidents and faster response to incidents through AI
Reduces cost via data-driven predictive maintenance and preventive diagnostics of core assets

Pagrindinės Funkcijos

Industrial machinery with digital overlays

Establish a dynamic virtual twin via data consolidation

Establish an intuitive dynamic virtual twin by consolidating a massive volume of real-time data generated from your plants. Legacy data and simulation systems, as well as diagnostics systems, can be converged for integrated management and comprehensive visualization.

Optimize the condition with the help of AI

AI-driven optimization for anomaly detection, maintenance, and resource management, as well as preventive and predictive maintenance. Integrated management of the end-to-end lifecycle of core assets, intuitive browsing via AI, and automatic relevant procedure retrieval for emergency countermeasures.

Digital twin of industrial facility with safety

Reinforce safety and performance through remote access

Enhanced safety via early detection and prompt response for various on-site incidents, all from a distant remote site. On-site managers, head-office executives, and technical experts can simultaneously share and assess the situation for faster decision-making.

Case Study

RCP Digital Twin Automated Predictive Diagnostics

Development of a big data, AI, and digital twin-based comprehensive monitoring platform for the nuclear power plant RCP. Aims to detect and predict RCP anomaly and initiate prompt countermeasures.

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Praktinis Pritaikymas

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3D power plant visualization on computer screen

Nuclear Power Plant

Applied our digital twin solution to South Korean nuclear power plants; we are expected to export it to the Czech Republic's new nuclear power plant project.

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