Smart Cities That Stick: Building Infrastructure with the End Goal in Mind
The first known use of adhesives dates back to the ancient Neolithic era, where evidence indicates the people of the time used an adhesive made of resin from birch trees. The Babylonians were known to have used animal’s blood and plant resins to build their homes, temples and structures. In ancient Egypt, the first professional title was given to someone who manufactured glue. They were known as a Kellopsos, which translates to ‘adhesive maker’. Now, says Technative, there’s an urgent need for a new type of Kellopsos that needs addressing – one that provides the glue that binds together the moving parts that make up a smart city; gathering data from sensors, passing it through the network and up to an IoT hub, to gain valuable insight by the application of machine learning to that data.. Smart cities have already started to become reality, but what we’re seeing is a short-sighted focus on solving a single issue, for example, smart lighting to reduce energy bills, or smart parking to reduce queues, with separate infrastructures being built for each. The true power of a smart city however, is in taking a transversal approach by pooling of all the disparate data such as lighting, traffic, air quality etc., into an integrated infrastructure and making really smart decisions with a cohesive end goal in mind. This also helps to manage security, with a holistic end-to-end view that can mitigate against the unsecured data hitting the IP from various sensors. This is also a crucial aid in managing and mitigating against the increasing and evolving security challenges these valuable infrastructure assets attract. Binding a city for sustainable development: Machine learning sensors to combat pollution We’ve had some great instances across Europe of this. As part of its drive to recover from post-industrial decline and rebrand its image as a hub for innovation and creativity, the Dutch city of Eindhoven wanted to deploy a unified, real-time air quality monitoring system using NO2 sensors installed at traffic lights. The pioneering project, titled AiREAS, involved doctors, engineers, researchers, elected officials and citizens as part of an open, collaborative platform.