Why creating smart cities requires real-time data processing
To manage the growing urbanization of smart cities, urban planners and managers must turn to real-time data processing
By 2030, 28% of the world’s population is expected to live in a city of at least one million people, according to an urbanization report from the Government Office for Science. In England alone, 82.9% of the population lived in an urban area in 2019, and this continues to rise. To manage these levels of urbanization, city planners and managers are turning to modern technologies and cutting-edge networks.taking advantage of the The Internet of Things (IoT) to support “smart city” solutions.
Data, and the ability to process it quickly and transparently, is critical to the connected and intelligent networks that make today’s cities live and the transport systems that connect the cities of a country. IoT usage has grown over the past few years and figures from Statista suggest that there will be over 29 billion IoT devices in the world by 2030.
Think smart homes, street safety, water monitoring, healthcare, traffic lighting, traffic control, and smart waste management
The reason for this rapid growth is the large number of applications for which IoT serves a purpose. Think smart homes, street safety, water monitoring, healthcare, traffic lighting, traffic control, and smart waste management.
The role of the database and data platforms
However, these applications will not work properly unless IoT-based strategies to develop smart cities are database-driven. Modern databases can automate the dissemination of information from large numbers of rapidly changing data points and work in tandem with real-time data platforms capable of analyzing large volumes of data at city scale collected through IoT systems. All data is ingested and processed in real time, from gigabyte to petabyte, and delivered to ensure vital decisions can be made on the spot.
What does real time mean in this scenario?
Data is processed in less than a millisecond, and what’s more, it’s processed error-free. This enables city services to be optimized through intelligent data flow, and it is already having an impact in the following areas:
IoT sensors are essential for adopting smart electricity meters, improved energy distribution, energy networks that can self-heal, networks in buildings and factories, leak detection and waste collection just in time.
Environmental controls and sustainability:
IoT sensors can help maximize energy efficiency, monitor pollution levels, traffic control and sustainable resources. Specifically, they can provide data on how to reduce emissions and eliminate waste.
Smart buildings rely on IoT-based sensors to improve energy efficiency, for example by automating lighting controls and improving space utilization to reduce costs.
Mobility and connected transport:
Surveillance of public transport can improve safety and hygiene. At a time, traffic controlparking and many other transit-related services increasingly rely on real-time information to maintain traffic, utilize parking spaces, and provide predictive information for road management.
The primary objective of a smart city is to provide citizens with better living conditions
Public Safety and Security:
The primary objective of a smart city is to provide citizens with better living conditions. Cameras and real-time video surveillance help reduce crime through motion detection and real-time crowdsourcing of crime data, including identifying security vulnerabilities, active crime tracking and monitoring. speeding up the authorities’ response times.
The impact of 5G
5G offers faster, more reliable and more secure connectivity. The development of everything from self-driving cars to smart grids for renewable energy to AI-based robots in factories is enabled by 5G. And the speed and latency it delivers means networks can even support billions of IoT-connected devices.
But with this progress comes much more data
But with that progress comes much more data — up to 181 zettabytes by 2025, according to Statista. This is more than six times the amount processed in 2018.
What 5G will bring to cities are faster connections and greater reliability; we will benefit from more capacity at lower cost, and the higher bandwidth and lower latency that smart city applications such as real-time connected vehicles and traffic data and infrastructure security rely on will be offered by the 5G.
We can also expect rapid developments in key technology areas, including artificial intelligence (AI) and machine learning (ML), video surveillance and, of course, greater support for IoT and self-driving cars.
This will catalyze smart city progress, but the success of 5G will depend on data processing and analysis powered by modern real-time data platforms.
These platforms can move large amounts of data across the network and create an affordable way to store data so it can be easily accessed and analyzed.
Create livable cities
The smart cities we build must also be resource efficient. To do this, we need instant and accurate data analytics that can decipher the huge volumes of data from multiple sources, including geospatial data, traffic data, pedestrian traffic data, and even crime statistics. .
Of course, data also comes from social media channels, audio, video and smart devices, coinciding with a growth in unstructured data. This means that organizations developing smart cities must understand and be prepared to use the right tools to dig deep into all the complex data in real time. The more they can share, the more likely a smart city will succeed.
At present, the motivation for creating a smart city is that it can reap economic, environmental and social benefits. The use of real-time data management and processing capabilities supports a new ecosystem of municipal services. It enables data-driven governments and knowledge-driven policies that can improve operational efficiency.
Written by Martin James, Vice President EMEA at Aerospike