Digital twin of cage platforms for salmon farming
Consultancy service in the review and advice on the creation of a digital twin for salmon farming cage platforms.
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Digital twin of cage platforms for salmon farming
We developed a digital twin for salmon farming cage platforms in collaboration with the Chilean government.
This advanced technology creates an accurate virtual replica of the culture cages, providing a powerful tool for monitoring, analysis and optimisation of operations.
The salmon farming industry in Chile faces numerous challenges, such as optimising production, improving environmental sustainability and managing fish health. Salmon farming cages are exposed to various environmental and operational conditions that can significantly affect salmon productivity and health. We have therefore developed an innovative solution to monitor and optimise these conditions in real time.
Optimisation of installations
We developed a digital twin for salmon farming cage platforms. This advanced technology enables the creation of an accurate virtual replica of the culture cages, providing a powerful tool for monitoring, analysis and optimisation of operations.
This has been achieved through data collection which, together with a predictive model, allows the optimisation and prediction of the behaviour of the facility under any possible scenario and conditions.
This success story demonstrates how the implementation of a digital twin can revolutionise infrastructure and industry. Our commitment to innovation continues to drive the industry towards a more efficient and sustainable future.
Components
of the system
Digital Twin
Virtual Replica: Creation of an exact digital model of the salmon farming cages.
Real-Time Monitoring: Continuous monitoring of operational and environmental conditions.
Data Collection
Sensors and Devices: Installation of sensors in the cages to collect data on temperature, salinity, dissolved oxygen, currents, among others.
Predictive Modelling: Use of algorithms to predict the behaviour of the facilities under various conditions.
Analysis and optimisation
Data analysis: Processing and analysis of collected data to identify patterns and potential problems.
Operations Optimisation: Implementation of strategies to improve the efficiency and sustainability of operations.
User Interface
Management Tools: Web and mobile accessible platform for operators to monitor and manage cages in real time.
Alerts and Notifications: Alert system to notify operators of critical conditions.
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Workflow
Data collection
IoT sensors installed in the fields collect data on environmental and soil conditions.
Processing at the Edge
Collected data is processed on nearby Edge devices for fast and efficient response.
Sending to central server
Pre-processed data is sent to the central server where further analysis is performed.
Analysis and decision making
Machine learning algorithms and expert systems analyse the data and generate recommendations.
User interaction
Users access processed information and receive alerts, enabling proactive crop management.
Benefits
Improved
productivity
Improved environmental
environmental
Improved conditions
of salmon
