Les technologies de surveillance de l’état des équipements sont essentielles dans les industries de process car elles permettent d’identifier les problèmes qui se développent dans les équipements avant qu’ils n’entraînent une panne nécessitant une réparation ou un remplacement coûteux et pouvant avoir un impact sur la production.
Technologien zur Überwachung des Anlagenzustands sind in der Prozessindustrie unerlässlich, da sie zur Identifizierung sich entwickelnder Probleme in Anlagenkomponenten beitragen, bevor diese zu einem Ausfall mit kostspieligen Reparaturen oder Auswechslungen führen und möglicherweise die Produktion beeinträchtigen.
Le tecnologie di monitoraggio dello stato degli asset sono vitali nelle industrie di processo perché aiutano a identificare qualsiasi problema in via di sviluppo negli asset prima che portino a un guasto che richiede costose riparazioni o sostituzioni e che potrebbe avere un impatto sulla produzione.
Las tecnologías de monitorización de la condición de los activos son vitales en las industrias de procesos porque ayudan a identificar cualquier problema incipiente en el equipo antes de que provoque un fallo que requiera reparaciones o reemplazos costosos y que posiblemente afecten a la producción.
Asset health monitoring technologies are vital in the process industries because they help to identify any developing issues in equipment before they lead to a failure requiring costly repair or replacement and possibly impacting production. However, when a problem arises with a critical asset, organisations may have to comb through vast amounts of data from these monitoring technologies to diagnose the fault.
One of the challenges expressed by lithium battery manufacturers is that they have to be fast and agile because each of their customers may have different formulations for the cathode, anode, and electrolyte material.
Plant network load balancing, cybersecurity, single-port firewall traversals, and other networking, data transport and storage challenges have constrained organizations in the ability to access these data sets at the scale desired. Growing volumes of data from operating plants is finding its way to enterprise IT networks including cloud platforms and is being leveraged in large numbers of use cases.
The 18th edition of Innovations in Process Automation from the Emerson European team is now available. It highlights some prime examples of Emerson’s industrial software capabilities and explains how these capabilities are helping manufacturers and producers to achieve significant performance gains.
In this quick 2:40 YouTube video, Master Data Management and the Importance of Healthy Data, Emerson’s Curtis Thompson explains why having healthy data matters, and how to know if you have healthy data.
Podcast host Jim Cahill is joined by Emerson’s Michael Tworzydlo to discuss the role of operational analytics to ensure operational health and optimize plant-wide performance by detecting abnormal behavior of processes and assets, identify root causes of problems, and predict future performance.
The asset health parameters across the plant can now be collected, stored, and fed real time into software algorithms. The software then processes and analyzes the data, turns it into actionable insights accessed by maintenance engineers. Depending on the criticality can be passed on for further processing and approvals, through desktops and mobile devices.
An Amazon Web Services (AWS) article, Building an Industrial Data Platform on AWS with Emerson’s Plantweb Optics Data Lake, highlights how bringing these silos of operational technology (OT) data sources together enables holistic analysis of data across the enterprise.
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