Intelligent PREdictive Maintenance for Aquaculture Systems (ERA-Net MarTERA)
TOPIC
Priority Area 5: Safety and security
SUBTOPIC
ICT tools for monitoring and optimisation of maritime operations (e.g. routing following best weather conditions), Early warning and accident management systems, Decision support systems, Improved operations (e.g. automation of processes; dynamic positioning; docking and mooring; handling of goods; subsea intervention), Applications for increased fire safety (e.g. risk reduction of major accidents from offshore activities)
Supplementary keywords IOT, AI, DSS, Aquaculture, PredictiveMaintenance
Intelligent PREdictive Maintenance for Aquaculture Systems is a research project aiming to improve the performance of aquaculture farms by introducing a novel platform and service for Intelligent predictive maintenance. The platform is based on innovative monitoring systems and smart infrastructure, relying on machine learning and artificial intelligence techniques. The platform measures key parameters in real time introducing innovative multisensor gauges which feed a chain of ML models for Time Series Forecasting (TSF), Anomaly Detection (AD), Fault Classification (FC) and Remaining Useful Life (RUL) estimation. The measurements give the current health status of the farm site while the forecasts provide a glimpse of future status; analysis of the predictions allow to identify the potential need of preventive/corrective maintenance. A cloud-based integration of the different components of the platform allows to improve connectivity and optimize the business process which lets the farmers benefit from a tailor made Software as a Service solution. The SaaS approach empowers the aquaculture farmers by providing a digital twin of their facilities ‘in their pocket’ and safety while optimized blockchain technology will be used to provide trust and traceability, such as securely managing the sensor data information as well as the identity of the stakeholders. Security and privacy compliance with GDPR will be ensured by implementing reliable, secure data transport and access. The new service gives farmers real time access to the current health status of the farm and facilitates them planning activities and measures based on the forecasted status in secure real time. In the end the iPREMAS pursues cutting M&O costs for the farmer and give additional tools for reducing negative effects to the environment in case of calamity.
Objectives:
Marine aquaculture (fish, mussels, clams, and seaweed) is among the emerging sectors of the fishing economy. The interest in marine aquaculture production continues to grow due to its broad potential for food security, derived compounds, and their bioactivities. Because of the increasing interest in moving large-scale aquaculture operations further into the open ocean, there is a growing need for new solutions to cope with the harsh and exposed environment. A new approach is replacing single-species growth systems with Integrated Multi-Trophic Aquaculture (IMTA) systems that grow different aquatic species from different trophic levels to address environmental issues such as eutrophication. Remote control, predictive maintenance, and smart infrastructure are essential for large-scale commercialization.
Activity 3.1 – Testing and validating the integrated platform
3.1.1. Testing the MiraX integrated platform The MiraX integrated platform was developed by the Belgian partner Haedes as part of the iPREMAS project. The platform was tested at this stage by the Beia team. The following aspects were verified: A. Data collection capacity B. Data transmission capacity C. Data visualization capacity D. Alerting capacity
3.1.2. Validating the integrated platform The validation objectives for the iPREMAS platform include:
- Providing data visualization functionalities
- Reporting
- Notification/alerting
- User management
Activity 3.2 – Communication and dissemination
3.2.1 Communication Activities
3.2.1.1 Project website
Information about the possibilities and benefits offered by iPREMAS has been disseminated online through the project’s dedicated website.
3.2.1.2 iPREMAS on Social Media The iPREMAS project has a significant presence on popular social networks like Twitter. The Twitter page (@IPREMASproject) is used to promote key events (conferences, fairs, workshops) that project partners participate in or are of interest to the project’s activities.
3.2.2 Dissemination Activities
3.2.2.1 Participation in Events The iPREMAS project and its results have been disseminated in various ways, including active participation in events, seminars, and workshops at both national and international levels.
Check all the events here.
3.2.2.2 Papers and presentations
- Eduard HANGANU, Oana ORZA, Sabina BOSOC, Cristina BALACEANU, George SUCIU: Water Quality Monitoring for Irrigation in Site Location Moara Domnească
- Mădălin SILION1 , Cristian BECEANU1, George SUCIU JR.1, Cornelia ALEXANDRU1, Lucian ALEXANDRU1, Ovidiu-Claudiu GHERGHE2, Maria-Laura ROŞU 1, Ioana ŢĂRANU 1, Bogdan-Gabriel PĂDEANU1: REAL-TIME MONITORING AND PREDICTIVE MAINTENANCE FOR SUSTAINABLE AQUACULTURE MANAGEMENT –
- Andrei-Bogdan DĂNILĂ1 , Cristina BĂLĂCEANU1 , Oana ORZA1 , Sabina BOSOC1 , Mădălin SILION1 , George SUCIU1: SMART ELECTRONIC SYSTEM FOR MONITORING WATER QUALITY PARAMETERS IN FISH TANKS – DOI: 10.24193/AWC2023_08
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Patent application OSIM no. A/00660 from November 7, 2023, entitled “Device for detecting contaminants in water from fish farms.”
Conclusion
As part of this report, the activities and objectives proposed for the year 2024 were completed 100%. Thus, the technical solution for monitoring water quality parameters in the RAS pilot station in Romania was tested and validated (Activity 3.1).
The result indicator was met by communicating the results at international conferences, various events, on social media, and on the project’s website, as presented in section 3 – Communication and Dissemination.
Project Leaflet
Download the leaflet here.
Website
Check the website here.