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    Port of Rotterdam implements IoT platform

    来源:    编辑:编辑部    发布:2019/02/16 09:38:18

    A NEW Internet of Things (IoT) platform has been developed for the Port of Rotterdam Authority, and the first application for hydro-meteo has recently been put into operation enabling the port to take safety and efficiency a step further.

    The system uses an extensive network of sensors to provide accurate and up-to-date water (hydro) and weather (meteo) data particularly for the planning and management of shipping.

    The construction of the IoT platform was announced a year ago by the collaborating partners IBM, Cisco, Esri and Axians, and has now been delivered under the Port Authority's direction.

    "It's a fantastic step in the development of Rotterdam as 'smartest port'," stated Ronald Paul, the Port Authority's Chief Operating Officer. "Just as important, however, is that the cloud platform and the generated real-time information, which includes infrastructure, water and weather condition data, enable us to further improve mission-critical processes in the service to our clients."

    The generic building blocks that have now been implemented offer the Port of Rotterdam a safe and reliable basis for rapid innovation with access to the latest technologies, including edge computing, real-time analytics, artificial intelligence, hyper-precise data and blockchain. For instance, sensors incorporated on and in quay walls, dolphins, waterways, roads and traffic signs generate continued measurement data and these can communicate with other autonomous systems.

    The delivered hydro-meteo system obtains height of tide, tidal stream, salinity, wind speed, wind direction and visibility data via a combination of 44 sensors in the port, many prediction models, data from Rijkswaterstaat and astronomical calculations. This enables the application to contribute to reductions of waiting times and optimisation of berthing, loading and unloading as well as departure times. The technology allows, for example, to more precisely predict the best time to berth and depart, depending on water conditions, while guaranteeing maximum loads.