
Automation & Industrial Systems
Industrial control, PLC programming, control panel development and automation integration for processes and equipment. We work towards making operations more consistent, observable and manageable.
Case study
An industrial data-integration prototype developed to collect measurements from a Modbus-enabled device and present them through a centralized dashboard.

Industrial equipment can generate useful information about electrical consumption, operating conditions, and process behaviour, but that information is not always readily accessible outside the device itself. Measurements may be available through a communication interface while remaining difficult to review over time or compare with other operational data.
This project investigated the integration of an industrial measurement device with a software-based monitoring system. The prototype used a Modbus-enabled energy meter as the field device and established a communication path between the meter and a data-processing application.
The integration began with identifying the relevant measurement registers and determining how the device represented each value. Register addresses, data types, scaling factors, and units were documented before the readings were incorporated into the application. This step was important because a communication connection alone does not guarantee that the resulting measurements will be interpreted correctly.
The prototype used Modbus RTU over an RS-485 connection to retrieve measurements from the meter. A software service polled the configured registers at defined intervals, converted the raw values into engineering units, and passed the processed readings to a time-series database. The dashboard then presented live measurements and historical trends through a browser-based interface.
The application included basic communication-status handling so that missing or stale readings could be distinguished from valid measurements. This helped prevent a disconnected device from appearing to report a normal, unchanged operating condition. The data model also retained timestamps, allowing changes in consumption and electrical demand to be examined over time.
Testing covered register interpretation, communication stability, scaling and unit conversion, timestamp handling, and the behaviour of the dashboard when the field device became temporarily unavailable. The process highlighted several practical integration concerns, including serial communication settings, register-map differences between manufacturers, polling intervals, and the need to validate readings against the source device.
The completed prototype demonstrated a repeatable method for moving industrial measurement data from a field instrument into a software environment where it could be monitored, stored, and analyzed
THE END

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