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Improving efficiency, reliability, and productivity through data-driven maintenance.

**What can be done with Aspen Mtell** - Achieve maximization of lead time and improved accuracy of failure prediction through AI/ML algorithms. - Combine various monitoring technologies to achieve strategic asset coverage and reduce the time required for value realization. - Accelerate the creation, deployment, and scaling of agents by incorporating KPIs and industry-specific expertise. - Simplify the creation of agents and data preparation through automatic identification of critical sensors and optimal input parameters. - Share specialized skills between data science teams and maintenance/process engineers to enhance collaboration. - Enable efficient and effective actions by production and operations departments by classifying and prioritizing all active alerts by severity and importance. - Centralize and visualize key performance indicators for plants and businesses in real-time to expedite decision-making, optimize resource allocation, and extend asset lifespan. - Streamline operations through easy integration with third-party systems and other AspenTech solutions. Improve overall business efficiency and performance by utilizing cloud-based solutions.

AspenTech Inmation is a centralized data management system that enables the integration, processing, enhancement, and storage of diverse data.

Main Features • Centralized Management – Easy upgrades and support • Supports hybrid architecture: Compatible with on-premises, cloud-based, or hybrid architectures • Compatible with various cloud environments that support Windows OS • Open Interface: Connects to visualization and analysis tools via WebAPI and OPC-UA interfaces • Embedded scripts for edge computing and data contextualization • Designed by OT experts to avoid interfering with OT systems, tailored for modern IT • Adopts service-based architecture with the latest information technology • Independent of OT data sources and system vendors: DCS, PLC, historians, lab systems, maintenance systems, etc. • Supports almost all types/structures of data: Process data, alarms/events, files, documents, ODBC, XML, TCP streams, videos/images, text, etc. • Scalable – Can expand from very small (a few CPU cores) to enterprise scale (thousands of CPU cores)