Project 1

Advanced technological platforms for sea monitoring and forecasting

The current marine observing systems produce a huge amount of data and services relevant for the scientific community and more in general for the whole human society (e.g. food production, tourism, climate change mitigation, carbon dioxide absorption and oxygen production). Nevertheless, a step towards a more effective system of marine observations can be made by defining and developing a new paradigm based on the transition from singlepoint to diffuse monitoring. This can be achieved by defining and developing a new generation of marine observing systems that integrate the traditional wired single-point monitoring stations with new stand-alone and distributed observing points, innovative sensors capable of acquiring new environmental parameters, autonomous vehicles capable of adaptively extending the monitored areas.

This project proposes the development of a new integrated system that combines single-point and diffused monitoring through the development of hardware and software modules that integrate traditional in-situ measurements with adaptive monitoring managed by AI solutions. This integrated system will enable more efficient data collection even in extreme conditions, reduce energy costs, improve the forecasting system and allow the realization of innovative early warning approaches and effective decision support systems. The project combines AIbased technologies and models (RL2) with new robotic systems “ecorobots” and sensors (RL1) with “traditional” systems for coastal and offshore environmental and marine characterization and recovery. In fragile and significant areas like the marine protected areas or aquaculture farming, such integrated technological solutions represent innovative tools and solutions aimed to improve the knowledge on natural marine ecosystems and to protect them. The project expected results consist of ten stand-alone products and two integrated products.

The stand-alone products consist of two systems for the autonomous and adaptive acquisition of physical and biochemical parameters (product 1.1) and passive acoustics (product 1.2); one fluorescence-based sensor for the detection of organic compounds in seawater (product 1.3); one octopus-inspired soft robotic arm suitable to be installed onboard autonomous vehicles (product 1.4); two early-warning systems for gelatinous zooplanlkton (product 1.5) and for nectonic fluxes (product 1.6); two software analysis applications for the monitoring of coastal water based on satellite image analysis (Product 1.7) and for the field data sampling based on adaptive strategies (Product 1.8); one label-free polymer photonic sensors (Products 1.9) and a system for sea waves and rainfall monitoring (Products 1.10). The two integrated products consist of a surface autonomous vehicle (Product 1.11) equipped with the soft robotic arm described in the product 1.5 and a distributed observing system (Product 1.12) including the autonomous and adaptive system described in the product 1.1, the sensor described in the product 1.6, and the software analysis applications described in the products 1.7 and 1.8. All the data acquired by the stand-alone and integrated products will be managed by the infrastructures developed within the RL4 activities, with the aim of making them available to stakeholders via metadata and interoperability techniques.

Product 1.1 Smart Observatory

Recent advances in Artificial Intelligence are profoundly influencing scientific discovery. AI not only enhances research outcomes through sophisticated data-analysis techniques, but also supports scientists in formulating new hypotheses, designing experiments, acquiring large datasets, and interpreting results—often revealing insights that would be difficult to obtain using traditional scientific approaches alone.

Product 1.2 Passive environmental noise monitoring system

The VS-AAI (Vector Sensor – Accelerometer Acoustic Integration) system is a newly developed underwater sensing platform designed to capture a wide range of underwater acoustic and vibrational signals.

Product 1.3 Fluorescent sensor for the detection of organic compounds in seawater

Implementation of a fluorescent sensor for the detection of dissolved organic matter (DOM) in marine water (chemical sensor). The sensor is designed to detect both humic-like and protein-like substances, it will work on-line in order to give continuous measurements of organic matter fluorescence.

Product 1.4 Octopus-inspired soft robotic arm

The octopus-inspired soft robotic system includes one or more arms with sensorized suction cups. The soft robotic arm is designed for sampling or manipulation of delicate objects in marine environments.

Product 1.5 Early warning system for gelatinous zooplankton detection and classification in touristic coastal areas

The occurrence of massive patches of jellyfish or other gelatinous zooplankton species is extremely difficult to predict. Nevertheless, the large-scale presence of these organisms can create significant problems for tourism or commercial activities related to fisheries. For this reason, an early-warning system has been developed to detect high concentrations of gelatinous organisms and predict their potential movement toward sensitive areas such as crowded beaches, bathing zones, diving sites, or fishing grounds.

Product 1.6 Early warning system for nectonic biomass flows in coastal marine areas with strong mussel farming activity

Mussel farms provide a high-quality food source with excellent environmental sustainability. Mussels do not require artificial feeding, and the growth of their shells helps absorb dissolved CO₂ from the water—and ultimately from the atmosphere—contributing to the mitigation of human-driven climate change

Product 1.7 Satellite Water Coastal Monitoring

Estimation of sea surface temperature (SST) and Chlorophyll-a (CHL-a) concentration was carried out using thermal infrared data from the Sentinel-3 mission and multispectral data from the Sentinel-2 mission, respectively.

Product 1.8 Adaptive Sampling

The definition of a new environmental monitoring methodology based on real-time adaptive sampling of environmental variables. The representation of data uncertainty. The reduction of the observation gap between data from short-scale remote sensing and in situ surveys, but also satellite-to-satellite, satellite-to-modelling, satellite-to-spatial databases.

Product 1.9 Label-free polymer photonic sensors

The activity focuses on developing polymer and hybrid polymer-inorganic photonic structures (made of virgin, recycled and bioderived/biodegradable materials) for the detection of chemical pollutants in water and air.

Product 1.10 Integrated system for sea waves, rainfall monitoring and marine data collection

This integrated system was developed to provide monitoring and early warning of extreme weather events through innovative land-based monitoring technologies. It combines two complementary subsystems: OS-IS© (Ocean Seismic – Integrated Solution) and SRS (Smart Rainfall System).

Product 1.11 SWAMP for Eco-interaction with Delicate Environments (Integrated product)

INM’s Autonomous Surface Vehicle, with its azimuth thrusters and maneuvering dexterity is the ideal candidate to navigate confined and shallow waters, and to cruise fragile ecosystems as typically MPAs (Marine Protected Areas) and transition waters.

Product 1.12 Distributed space/time monitoring system based on AI-guided robots with innovative sensors and adaptive monitoring strategies (Integrated product)

Definition and development of a distributed observing system for the acquisition of marine environmental data through the integration of traditional observing platforms with innovative sensors (Product 1.2, Product 1.3), satellite monitoring systems (Product 1.7), autonomous multi-parameter stations (Product 1.1) and autonomous underwater vehicles (AUVs).

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