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AspenTech Inmation AspenTech Inmation

AspenTech Inmation, The Industrial Data Fabric, enables efficient management of large industrial data scopes across global operations. It ensures reliable performance as data needs grow, making it ideal for expanding systems across multiple sites or networks. The system supports seamless infrastructure expansion, adapting to increasing data demands without compromising efficiency. Designed for businesses requiring large-scale, robust data integration and analysis, AspenTech Inmation provides a comprehensive solution for industrial data management.

Manage Enterprise-Wide Data Connectivity

Connect to a wide range of different servers, systems, interfaces, endpoints, and data sources.
 

Supported Protocols and Formats:

 
  • OPC: DA, HDA, A&E
  • OPC UA: Realtime, History, A+C
  • ODBC Datasource
  • Files: TXT, CSV, JSON, XML, XLXS
  • MQTT
  • Kafka
  • HTTP
  • Generic TCP
  • Modbus
  • PLC/Ethernet/IP
  • OSI PI/PI AF
  • Honeywell PHD
  • Siemens Simatic Batch
  • Mettler Toledo
  • LabX
Sales and Delivery Service Partner
Puffer-Sweiven's AspenTech Inmation specialists have experience designing, implementing, and scaling industrial data fabric solutions that connect OT and IT systems across the enterprise.

Our experts have also developed a toolbox of inmation Accelerators to streamline the delivery of solutions and provide exceptional value to our customers. This ensures the out-of-the-box solution is:
  • Reliable: Trust that data is flowing, and any issues are automatically detected and escalated.
  • Scalable: Expand the solution and business value easily.
  • Customizable: Ensure the system is configurable for each unique use case.
  • Secure: Protect your IP.

These inmation Accelerators include:

Online Health Monitoring
 
  • Email alerts when data flow is interrupted or infrastructure issues occur.
  • System health dashboards.
  • Automatic configuration of health monitoring based on system configuration.
  • Automated auditing.
Code Library
 
  • Data sources: AVEVA OSI PI, Machine Works, Ovation, AgileOps, ODBC, Files, Parquet, etc.
  • Time handling
  • Performance
  • Logging
  • Email
  • Simulation
Change Management
 
  • DevOps code management framework
  • Automated standardization across multiple team members.
  • Code management across multi-site deployments.
  • Automated testing.
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  • A unified and scaleable, operational data infrastructure
  • Robust native connectivity to all OT data systems (DCS, PLCs, historians, etc)
  • Highly scalable & open data storage
  • Data ingestion of all types – real time & historical, alarms/events, ODBC, XML, text, files, TCP streams, etc
  • Native integration with enterprise IT cloud technologies
  • Advanced scripting capabilities
  • Powerful visualization tools

Advantages

Un-paralleled OT data connectivity without disrupting production level OT systems
Scalability – from very small to enterprise data consolidation
Straightforward integration to enterprise data-lake technologies
Centralized system management
Get in touch with an expert, find your nearest office location, or send Puffer-Sweiven a note about your next project.
Talk to one of our experts in this field
281-240-2000
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Navigating Measurement Data Challenges in Midstream Operations

In the blog "Navigating the Data Ecosystem: Challenges in Midstream Operations Measurements," the author discusses the significant challenges midstream companies face in gathering and interpreting measurement data from various sources. The complexity arises from the scattered nature of data across pipelines, terminals, and different technologies, making it difficult for decision-makers to derive actionable insights.

Key Challenges:

  • Data Distribution: Measurement data is widely distributed across different sites and pipeline networks, complicating the compilation of accurate production records.
  • Technological Variety: Various technologies, including SCADA, DCS, PLCs, mass flow meters, ultrasonic flow meters, flow computers, and remote telemetry units, generate reports based on these datasets.
  • Complex Data Network: The data network includes plant and pipeline automation platforms, track measurement technologies, data historians, lab systems, online analyzers, tank gauging systems, meter calibration systems, proving systems, and truck/rail shipping systems.
  • Record Data Inclusion: Accurate evaluation of production records requires the inclusion of product quality data from third-party labs and testing facilities, as well as metadata from SCADA systems.
  • Calibration and Proving Systems: Ensuring meters and measuring tools are properly calibrated and adjusted is essential for trustworthy data.

Puffer-Sweiven helps customers evaluate and implement AspenTech Inmation solutions that connect disparate data sources, improve data accessibility, and support enterprise-wide operational visibility.

Blog Written by: 
Zack Koulopoulos      Marketing Programs Manager, Aspen Technology, Inc.