Masseinformasjon

Masseinformasjon refers to the set of information and metadata describing a machine, especially in manufacturing and industrial settings. It focuses on the machine itself rather than the processes it performs and is a core element in asset management and digitalization efforts.

Typical components of masseinformasjon include identity data (manufacturer, model, serial number, asset ID), configuration and capabilities (firmware version, installed options, control interfaces), operational status (state, run time, uptime, energy use), maintenance history (service tasks, parts used, next due dates), performance data (throughput, cycle times, utilization), and diagnostics (fault codes, health indicators, sensor readings). Data are collected from sources such as PLCs, sensors, SCADA, MES, CMMS, and ERP systems, and are organized using time-series databases and standard interfaces or data models.

Purpose and applications of masseinformasjon include enabling asset management, predictive maintenance, energy optimization, production planning, and quality control. Machine information supports the development of digital twins, traceability, spare parts management, and compliance with safety and environmental standards. It also facilitates interoperability across integrated information systems within industrial environments.

Standards and interoperability play a key role in masseinformasjon. Common standards and protocols include OPC UA, MTConnect, and models used in Industry 4.0 such as the Asset Administration Shell, which aim to facilitate machine-to-machine communication and data exchange across vendors and platforms.

Challenges in managing masseinformasjon include ensuring data quality and consistency, achieving true interoperability between equipment from different vendors, data governance, security and access control, data ownership, and privacy concerns. Addressing these requires clear governance, robust metadata standards, and thoughtful integration with broader information systems.