Optimar Commander - a game changer for the seafood industry

With the help of Optimar Commander, users can collect, monitor, and analyze data from sensors connected to production equipment in factories and on board vessels. The information is visualized in the form of a personally customized dashboard. This can be displayed on display screens, PCs, and in a mobile app, and real-time monitoring and alerts can be set up as needed.

Optimar Commander is built entirely in Microsoft Azure. In Azure, multiple services are used to analyze and process data before they are stored in a suitable database, allowing them to be delivered to the end-user as quickly as possible. When customers access Commander, they have a complete overview of their boats/factories and the equipment available, and can easily see an overall view per factory or go down to the component level for a more detailed picture of both real-time data and historical values. Central to the solution is Azure IoT Hub, which manages and receives data sent from the factories before the data is routed to different destinations - either in the form of sensor data in a database or, for example, alerts to users.

The web application used by users is built in React, which communicates with a .NET Core Web API. This API further communicates with cloud services in Azure to retrieve and process data before the end-user receives the presented information. Azure is constantly evolving, and new services are made available on a regular basis, as well as updates to existing products and services. It is therefore essential to carefully assess the specific needs to use the services that address those needs and to ensure that the solution can scale for future requirements. We currently deliver a wide range of services in Azure and have extensive experience in architecture and solution selection.

Optimar Commander is now being used by producers all over the world.

The solution makes KPI information easily accessible for users, simplifies dynamic reporting, and documents the quality of production processes. The platform can also be used for planning predictive maintenance, alerting deviations related to production equipment, and monitoring parameters such as oxygen levels, fish count, and temperature in fish pens.

All data collection in the factories is done by Optimar, and in itself is not immediately useful to the customer. Our task has been to create a tailor-made web application that presents this data in a way that creates value for the customer while also serving as a communication tool between the customer and Optimar.