DRAXIS environmental SA created the DRAXIS Smart City data management and utilization platform, with clear vision of providing innovative tools and services to citizens and organizations. The platform offers a complete solution for the collection, processing and analysis of data via geospatial intelligence and machine learning algorithms in order to produce new information and services that will elevate the municipality, the people and their potential.

DRAXIS Smart City offers a powerful collection of tools to the intelligent city of the future that tackles the energy crisis and climate change and enhances the daily lives of citizens. Using modern visualization tools, stake holding users can reveal information that is hidden among the variety of city data to assist on a) reduction of the operating costs in areas such as waste management, building and street lighting, energy, water and public transport, b) urban planning, c) tackling air pollution and climate change, and d) mobility and parking. Citizens can benefit in matters of daily life such as smart parking, traffic avoidance, remote services, equality in governance, better living conditions in the city and road safety.

The platform rises to the challenge of easily correlating and visualizing different forms of data from a variety of sources into a unified geospatial representation using cutting-edge technologies without the hassle of different communication protocols.

The DRAXIS solution can combine data from multiple sources (IoT, geospatial, satellite, open source and citizen data) of any format or data following common measurement standards.

The DRAXIS Smart City geospatial platform provides:

  • Interconnectivity: Ready-made connectors for direct connection to commercial or custom IoT devices as well as other data sources.

  • Data Augmentation: Constantly updated data sources to combine with user data.

  • Geospatial Analysis: Storage, preview, combination and analysis of geospatial information and satellite images using the implemented technologies.

  • Calculation Engine: Building a computational layer with innovative machine learning and artificial intelligence algorithms for data augmentation and analysis.

  • Visualization: Build and manage maps, charts, dashboards, and workflows in a cartographic environment. Ability to compose dynamic dashboards for real time and non-real time data analysis.

  • Advanced Notification Functionalities: Set alarm thresholds based on combined values ​​of real-time variables.

  • Access Rights: Secure environment only for access to authorized parties that will perform configuration and monitoring actions, while also giving access to unregistered users (public).

  • Interoperability: Supports the secure sharing of device data or data generated by the platform, in other applications of the public body.

The platform’s implementation approach utilizes state of the art technology in data entry, storage and processing. Data flow and processing technologies such as Apache Kafka, Apache Spark Cluster, feed the data into the visualization and business logic layer, provided with full interconnection through OGC communication protocols, geospatial data and REST APIs.