For Byport sustainability is not an option but a necessity. Byport’s AI powered sustainability monitoring platform aims at monitoring environmental pollutants generated by traffic within the port area (ships, ferries, cargos, vehicles) and at evaluating the impact on the port itself and on its urban surrounding.
It targets the predictive assessment of environmental indicators related to air, water quality and carbon footprint, and on the assessment of impacts on the supply chain.
The platform is based on the paradigm of Internet of Things and it consists of the following main elements:
1. The collection of environmental data (such as pollutants in air and water), weather condition data and trucks’ and ships’ traffic data through a network of sensors.
2. The collection of “big data” related to the operational port processes through connection with the Port Community System
3. The transmission and aggregation of data in one central system
4. The analysis and presentation of the above data in a user-friendly tool in order to promptly support decision making.
The goal of the environmental model is to simulate the port area, looking at parameters, such as pollutants in the air or movement of sediments in the water. The model can predict the impacts of port activities on the air and water quality, due to, for example, the arrival and departure of cargo and passenger vessels.