Tag and telemetry

Tag structures define the data points used to represent measurement values coming from devices, while telemetry refers to the real-time data flow transferred into the platform through these tag structures.

Voltage, current, power, temperature, pressure, energy consumption, and device status values are all organized through tag structures and become continuously traceable through telemetry streams.

Field data collected through gateway and connector layers is associated with tag structures under a standardized platform data model. This allows dashboards, alarm systems, reports, and analytics modules to operate on the same unified data structure.

A tag represents a data point, while telemetry represents the continuous time-based flow of that data within the platform.

What is a tag?

A tag is a logical data structure that represents a specific data point within the platform. Measurement values collected from devices, sensors, or industrial systems are organized through tag structures.

Each tag is managed together with information such as data name, data type, unit, source, polling interval, and related device. This enables all measurement data within the platform to remain standardized and readable.

Voltage, current, power, temperature, pressure, energy consumption, frequency, and device status values are all represented through tag structures. Dashboard systems, alarm mechanisms, reporting modules, and analytics engines directly operate on these data points.

Thanks to the tag structure, data collected from different devices can be unified under a common data model, ensuring consistent data management across the entire platform.

• Measurement data definition → Each data point is represented through a dedicated tag structure within the platform.
• Standardized data organization → Enables data from different devices to be organized under a unified platform data model.
• Dashboard and visualization usage → Charts, cards, and SCADA screens are generated using tag-based data structures.
• Alarm management → Alarm and notification mechanisms can operate using predefined threshold values.
• Analytics processes → AI and analytics systems can use tag data to generate performance and trend analysis.

What is telemetry?

Telemetry refers to the process of continuously transferring and processing device data within the platform together with timestamp information.

Field data coming through gateway and connector layers is associated with tag structures and transformed into real-time telemetry streams. The platform stores, analyzes, and visualizes this data across user interfaces.

Telemetry structures allow system behavior to be monitored in real time, historical data to be analyzed, and operational processes to be tracked continuously.

Dashboard systems, alarm mechanisms, reporting modules, automation workflows, and analytics engines all operate directly on telemetry data.

• Real-time data flow → Enables continuous transfer of data coming from sensors, PLC systems, and field devices into the platform.
• Time-series data structure → Measurement data is stored together with timestamps, allowing historical data analysis.
• Dashboard and visualization → Telemetry data becomes available for charts, cards, SCADA interfaces, and analytics screens.
• Alarm and automation workflows → Real-time data changes can trigger alarms, notifications, and automation scenarios.
• Performance and trend analysis → Historical telemetry data can be used to generate consumption, performance, and efficiency analysis.
• Operational monitoring → System status and field operations can be monitored centrally through the platform.

Telemetry forms one of the core components of the platform’s real-time data processing and operational monitoring infrastructure.

Tag and telemetry data flow

Tag and telemetry structures define the operational data flow model that enables field data to be collected, organized, processed, and utilized across dashboard, alarm, and analytics systems within the platform.

Data generated by field devices is first organized through tag structures, then transferred via telemetry streams into visualization, alarm, and analytics layers.

Role within the platform

Tag and telemetry structures form the core data organization layer of the platform. Visualization, alarm management, automation, reporting, and analytics systems directly rely on these data structures.

Usage scenarios

Tag and telemetry structures are used for centralized real-time data monitoring, analysis, and operational management across industrial and IoT infrastructures.