In cruise ships, propulsion and ventilation are the biggest power hogs but they’re certainly not the only ones. Control systems need power as well. Small adjustments to every bespoke piece of equipment over a long period of time can lead to significant savings. In an ideal situation, devices are only used when needed, but in reality, this is something that is very difficult to control with many other things going on at the same time.
The client needed a metering component to their existing system. Monitoring was not in real time and the system incurred significant licensing fees. They needed a smart system with functionality to schedule device operation.
Working closely with Trineria, an integrated system for monitoring, control, and consultation was developed. The system will bring notable reductions to fuel and energy costs by monitoring and controlling energy consumption and status of devices from the ship level down to individual devices. The system can not only tell the user where energy is expended but it can also help the user with monitoring and making itself better. A day of top-rated efficiency can be logged and then used as a benchmark going forward.
Features and functions are controlled with real-time status displays and a range of KPI metrics. The system can also offer load calculations for controlling dynamic ventilation. It can automatically limit loads according to available power. Optional control systems for food monitoring help improve not only general efficiency but the efficiency of the workforce as well. Logging and analysing HACCP data is the basis for better food safety management. The utilisation and diagnostics data from devices are key to more efficient maintenance.
Building the solution started from creating a statistical model. This was done by collecting data with PLCs in one second intervals. A web UI for real-time monitoring was also developed, and this UI can be forwarded to an external display. The client has been instrumental in developing the software as they have access to all the necessary testing equipment as well as the know-how on automation programming.
The software is under continuous development on areas like data collection. When a device or a set of devices is used, the system creates a statistical model of this usage. Based on this model, an estimation can be made on when a device is most likely going to be active. AI-assisted functionality takes usage data from the past month and adjusts device operation accordingly.
This provides the user with both a general and a more detailed view. The graphical user interface is also easy to learn. By clicking on items and product listings, the user can navigate and view different levels with ease.
Every 24-hour interval of usage is compared to a previously set optimal profile. The system displays changes in real power usage and turns devices on and off automatically. Staff members retain full control of devices pertinent to them, however.
“What we have is a highly customised product. A product that calls for a flexible developer with both tenacity and comprehensive expertise. We have worked with Trineria for years, and they have an excellent grasp of our business, our field in general, and our needs.”
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