Guardian IIoT seeks to develop an ecosystem of predictive solutions and technologies that allow the convergence of Operation Technology (OT) with Information Technology (IT), ensuring a significant improvement in safety and efficiency levels in the operation of port terminals. These solutions aim to improve the operation and safety of maritime terminals, reducing costs and accidents.

Its predictive anti-snag system makes it possible to anticipate and detect possible crane snags before they occur, reducing the risk associated with these operations.

SmartEcoReefer’s objective is to develop a passive refrigerated container that guarantees the customer the right services for temperature-controlled logistics with a transit time of 20 to 25 days.

The service seeks to solve the problems of transporting perishable products by sea, including temperature maintenance and dependence on energy supply along the route.

This will reduce losses of products that expire en route, which in turn will reduce costs and increase the competitiveness of all actors involved in the transport chain.

Clever Volume is a technological solution capable of estimating the volume of solid waste, from a user-oriented innovation strategy, within the Port Authorities’ own facilities and in real time.

To do this, the solution combines the use of an on-site sensor kit and remote software that allows the volume of waste to be measured and the data to be segmented. The software creates a digital replica of the container, calculating its volume and generating a report, so that it is able to automatically quantify the waste managed.

Clever Volume also allows the integration of information between the actual data and the maritime databases usually used.

The project involves the creation of a light goods transport service (up to 15 kg) using drones in logistic-port operations. The project includes the development of a new type of aircraft, specifically for transporting goods by sea (shipping documentation, materials, repair tools, medicines, etc.) and the development of the service as a business model.

The ultimate goal of the project is to develop an autonomous drone that performs land-to-ship transport operations in an optimal and efficient manner, as well as to reduce the cost of services currently provided through the use of phalutics.

Development of a wave energy generation system (energy from ocean waves) for the generation of electricity.

WEC (Wave Energy Capture) is a system capable of harnessing the kinetic energy of the waves and storing the hydraulic energy in its own structure. The particularity of this system is that it performs this function without having to change energy format, thus avoiding the losses associated with the transformation.

This technology will make it easier to implement on a large scale with high levels of durability of the system in the marine environment, since it is attached to piers or vertical structures that already exist as an energy collector.

GuideMe is a digital solution to optimize the flow of cruise passengers in a sustainable way in ports and cities by leveraging existing infrastructures.

GuideMe is a tool that uses GPS technology, Artificial Intelligence and Data Analytics, proposing hyper personalized itineraries to users in a fully automatic way. These itineraries are adjusted in real time according to the preferences of each user or group, the stopover time they have, the category of their cruise, live traffic in the city and a multitude of other variables that come into play to make the stopover as efficient and attractive as possible.

The main objective of Parvamap 3D is to achieve the complete automation of bulk solids storage facilities on a real scale and working environment, by developing an innovative system for the handling of stockpiles based on two new technological tools: a 3D mapping equipment that automatically provides accurate information and a communication interface with the material handling equipment.

The system will allow real-time mapping of the status of material stockpiles in warehouses, as well as complete automation of the bulk solids collection and stacking process.

The project aims to deploy a technological platform called PAULA (Platform for AUtomatically Linking Agents) from the PortCDM (Collaborative Decision Making) family of systems within the framework of new maritime traffic management models.

PAULA seeks to optimize port call operations, based on the automatic and real-time exchange of digital information between the main agents of the port-logistic community involved in the call of ships, as well as the integration of information from existing port sensors such as AIS systems or radars.

The system also aims to facilitate data exchange between ports through FIWARE (EU-driven platform for the development of fully open applications).

Posidonia Port CDM seeks to optimize operational processes related to container ship calls through the exchange of standard information that allows for joint decision making, optimizing the efficiency of ports within the entire maritime logistics chain.

Posidonia is a solution deployed in a cloud environment that is accessed via API Rest. This API can be used by the agent’s technical staff to send information directly to Posidonia or, if the client so wishes, to send information automatically to the cloud that works in plug&play mode, thus avoiding that any agent is excluded from the integration process due to lack of means or technical knowledge.