A sentient city knows what it has and makes decisions based on current, accurate and shared information.
In the, become real sensors, able to detect daily variations in the life of buildings, citizens, , consumption, etc.
The challenge of the lies in the of managing heterogeneous
The intelligent city is a place where digitised map data is mashed up and integrated with information coming from different public bodies (municipalities, Land Agency, chambers of commerce, service companies, etc.), with thecollected by sensors (data collectors for weather, air quality, electronic meters, traffic, video surveillance, etc.), with comments posted on , tagged on Flickr or tweeted on Twitter.
The challenge of thelies in the of managing heterogeneous , which, as seen, can come from a variety of sources, creating an integrated and transversal model.
The integration of suchencourages expansion of and reduces reaction time compared to the occurrence of facts on the territory: the real challenge is, therefore, to develop integration platforms which can intelligently manage all this . Today we will talk about a platform designed for this purpose.
Snap4City (scalable Smart aNalytic APplication builder for sentient Cities) is a fully , data-driven, scalable platform based on cloud,
Snap4City (scalable Smart aNalytic APplication builder for sentient Cities) is a fully , data-driven, scalable platform based on cloud, which, through the analysis and aggregation of large amounts of and the use of algorithms, is able to offer important services such as detection of anomalies, early warnings and environmental risk assessment.
The platform enables stream and batch processing and is completely realised through microservices and by using easily replaceable tools, which make it scalable, flexible, safe and respectful of privacy, endowed with a powerful semantic reasoner.
Snap4city is developed by the DIstributed Systems and Internet Technologies Lab (DISIT) of the University of Florence, a research laboratory specialising in IOT / IOE technologies, distributed systems for high, distributed and parallel , big , data analytics, , semantic , expert systems, NLP and the smart cloud. It is definitely a reference platform, used for experimentation across many projects and areas.
It is also a Living Lab, a system based on a systematic co-creation approach, integrated innovation and research processes that lead to engaging users and making them sources of creation. The Living Lab allows operators as well as end users to develop their IOT applications, dashboards, data analytics in the cloud or, on IOT Edge, making full use of communication technologies and the cloud.
Img.1 – Scheme of Snap4City framework and modules.
The semantic reasoner on which Snap4City is based is Km4City, a multi-domain semantic model and tools. Born in 2013 as an ontology for, its aim is to improve quality of life by enabling the creation of innovative services for cities with a particular focus on mobility, security, tourism and the reduction of consumption and cost.
At the moment, Km4City, a knowledge base for services of various, spans the whole of Tuscany with its , in terms of road information, points of interest, public transport services, gas stations, information on hospital triage, traffic flows and much more to come.
The Snap4City platform offers many, such as data acquisition from sources of any kind and with various protocols, their aggregation with a unified Km4City model, automatically reconciling complex , analytic even in streaming and displaying them directly in interactive Dashboard, on mobile or on other devices. Moreover, Snap4City highlights connections in the IoT / IoE End-to-End environment, secure and encrypted by any type of IoT Device. Furthermore, the proposed solution responds perfectly to the aims of the “Fourth Industrial Revolution“, 4.0, the industrial automation process which aims to improve working conditions through the use of innovative technologies.
Img.2 – Interaction between sensors and data collector/analysis tools.
The following figure shows the Snap4City development environment through which an IoT Application of an IoT Edge is edited. The flows must be read from left to right and can present corresponding virtual or physical elements, IoT devices, such as buttons or virtual elements in the Dashboard.
Img.3 – Example of development environment for Iot with Node-RED.
Snap4City also lends itself to analysis in the energy field, allowing the user to easily create systems that can handle large amounts ofwhich can be analysed in real time. As an example of its application in this field, a has been realised that includes a data acquisition system, a load generation system, a storage system on a MONGO Federated NoSQL storage and an indexing system based on Elastic Search. The results produced were represented in real time through Kibana (an open source data visualization plugin for Elasticsearch). The following figures show a Dashboard created through the Dashboard Builder of Snap4city in , the first, and 4.0, the second.
Img.4 – Example dashboard from realon traffic.
Img.5 – Example dashboard from realon energy consumption.
Snap4City platform and solutions are available at Snap4city.org website, you can register and start exploring its . But if you want to really challenge your skills and propose your innovative solutions for connected cities, you can join the upcoming Snap4City Hack, the big online hackathon on the topics of and IoT.
Snap4City launched a big online Hackathon on Ecological Watch, Social and Service Evolution, Stimulating Business Growth, City Aware.
Using Snap4City tools to manage IoT, Big Data, and, the hackathon challenges will cover different themes – Ecological Watch, Social and Service Evolution, Stimulating Business Growth, City Aware – and real from cities such as Helsinki or Antwerp.
Further information on the Hackathon is available on the on Snap4City.org/hackathon website.