Smart cities are cities with arrays of IoT sensors and corresponding data flows, analytics and insights designed to make cities more sustainable, prosperous and inclusive. Think Engineer are positioned at the forefront of this technology.
Think Engineer offer consultation, system design and development and machine learning & AI expertise . Our unrivalled experience in IoT innovation, data science and integrated software means we can offer high value insights into the required foundations and implementation of these smart city systems, designing and building the custom sensors and software required to create secure and robust Smart City platforms.
Smart cities aren't implemented overnight, of course. Often the first requirement is data to help understand what makes the city or town centre tick. We can help obtain and, more importantly, to understand that data.
Air quality monitoring is an obvious yet valuable use of IoT technology ina smart city. Not only being able to measure and quantify pollutants, allergens and other air quality factors but making them immediately available to the public, businesses and authorities in real time, improving predictions and forecasts. More importantly, building our understanding of the sources.
Traffic monitoring in the smart city concept with IoT technology deploying sensors detecting anyting from parking space occupancy, traffic queue length to vehicle types. Not only allowing us to run smart signage and smart trafic signals to improve traffic flow but also learning about the needs of the city's road users.
Measuring the occupancy level of public spaces has obvious advantages in a Smart City. Knowing in advance how busy the library, swimming pool or shopping areas are is of obvious value.
By using IoT sensors in the smart city we can know where our city's waste is, what is at capacity and what needs collecting now. On the other hand, knowing what doesn't need collecting yet or where a lot of waste is being generated means waste collection and management can be far more efficient.
Using IoT sensors to monitor water levels and manage fload protection measures while also monitoring blockages and our waste water is an efficent and effective use of resources.
Understanding the cities energy needs and usage helps planning sustainable and practicle energy infrastructure.
What really makes a city smart is when we have the data of an entire ecosystem of sensors and we start to join the dots. When all the data is available and collated into big data and we start to analyse it with algorithms the whole becomes far more than the sum of the parts. The kind of insights available from a fully integrated smart city are limited only be the imagination. Machine learning and AI technologies can feed back into the system, understanding and reacting to the needs of it's people in real time.