아스펜테크는 퍼스트 프린시플(first principles), 즉 보존 법칙 기반의 공정 시뮬레이션 모델, 전문 지식(domain expertise)을 인공지능 (AI) 및 분석 알고리즘과 통합하는 방법을 개발했습니다. 이를 통해 완성된 하이브리드 모델링 (hybrid modeling) 솔루션을 활용하여 광범위한 데이터 세트를 분석하는 모델을 생성하는 것은 물론, 고도의 전문지식 없이도 정확한 모델을 신속하게 만들 수 있습니다.

Read this new white paper to find out how digital technologies can now guide improvements at all stages of an asset lifecycle – from unit design and operations optimization to maintenance programs.

The energy industry has been hit hard by current global economic interruptions: rapid drops in demand, a changing mix of preferred products, plummeting crude prices, difficulty staffing essential production sites and fragile supply lines. Energy companies are re-examining their digital capabilities and increasing their focus on digitalization as an essential strategy.

En todo el mundo, las organizaciones lideres están adaptando e implementado tecnologías digitales avanzadas. La travesía de transformación digital cambiará la naturaleza de las industrias intensivas de activos, particularmente los negocios de energía y químicos. En ese contexto, Digital Twin — (copias virtuales de activos físicos y sus comportamientos operativos) tendrán papeles clave. Para los gemelos digitales que creemos hoy, un concepto clave es la inteligencia artificial que proporciona información y asesoramiento sobre los datos virtuales. Descargue este White Paper para conocer sobre estas claves esenciales en su estrategia de digital twin:

Small operational issues in the sulphur recovery unit (SRU) can lead to higher emisisons — or worse, a frustrating and costly shutdown. Simulation of the SRU can enable more reliable operations and fewer shutdowns through the prevention of issues and quick and effective troubleshooting. In this paper, we present three common operational issues and show how simulation was used to prevent or quickly resolve the situation.

Learn how Aspen DMC3 enables you to shape the economics of APC solutions to meet business objectives and modify the behavior of the controller to fit the needs of any phase of the lifecycle.

Asset Performance Management (APM) technology, predictive and prescriptive analytics, and artificial intelligence (AI) can play an important role for the food and beverage processing industry. In fact, no other industry is better suited for an approach that provides more lead time for critical maintenance decisions.

Making big capital project management decisions shouldn’t be left to subjective perceptions or over-simplified analysis. Decision-makers need quantifiable, trustworthy answers to make the most profitable decisions possible. Aspen Fidelis Reliability is a robust RAM analysis tool that can handle the real-world challenges of today's process industries. In this paper, learn how Fidelis enables you to maximize the economics of business decisions and accurately predict future asset performance of the whole system.

Today’s industries face mounting challenges in assuring the best operational performance of assets, both mechanical and process. Managing asset performance is the key element of controlling the operational risk that varying situations can present.

多くの企業は、この変化する状況の中で、安全性、資産の健全性、排出量管理、廃棄物削減など、持続可能性の目標をビジネス目標に組み込んでいます。デジタルテクノロジーによって、ポリマー製造会社は、より大きなリターンを獲得し、新しいレベルの最適化を推進する機会を得ることができます。