The project faced challenges in effectively processing and managing large volumes of time-series data, ensuring efficient anomaly detection, and maintaining a user-friendly interface for data analysis. Additionally, optimizing the existing infrastructure to handle increased data processing demands while minimizing latency posed significant technical hurdles.
To address these challenges, the team collectively developed tools for anomaly detection and optimized data processing and storage mechanisms. A user interface was designed to facilitate easy browsing, analysis, and identification of irregularities in sewage networks. Furthermore, efforts were made to streamline the release cycle through continuous improvements in CI/CD automation, infrastructure optimizations, and bug fixes.
The project successfully delivered a robust system for reporting the status of water network systems, equipped with efficient anomaly detection capabilities and a user-friendly interface for data analysis. Optimizations in data processing and storage resulted in a remarkable acceleration of up to 6000%, ensuring timely identification of irregularities. Moreover, the implementation of active notification systems and a faster release cycle further enhanced the overall management and operation of the application, resulting in improved user experience and operational efficiency.
Steve Durant (Head of Engineering at Inflowmatix)
Inflowmatix, a subsidiary of SUEZ and based in the UK, specializes in creating solutions for water utilities, empowering them to monitor, comprehend, and enhance the performance of their distribution networks. Underpinned by pioneering research in water network operations and management, the company's offerings, such as "arboricity™" and "InflowSys™", provide real-time insights and high-frequency pressure monitoring for efficient network optimization. With a commitment to ensuring a reliable and trustworthy water supply, Inflowmatix collaborates with stakeholders in the water industry to instill confidence in water resources across all sectors of society.
Complete UX/UI revamp and rewrite of an app that allows professionals to work with a hydrophone-based solution for water leak location.
Data Visualisation, DevOps as a Service, Mobile App Development, Product UX/UI Design, Quality Assurance, Utilities, Android, Scale-ups
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