Development of Technological Building Blocks for Smart Water Networks
Iot: Integrate Lacroix IoT platform components such as Device Management and Connectivity, and Data sharing & AI modules.
Cyber secured water network remote management, services based on generated data for water leak detection, equipment predictive maintenance.
Context and Purpose
The E2CC_IOTWN project is a continuation of the E2CC_Platform initiative. It aims to develop complementary technological components tailored to the specific needs of drinking water networks. The project demonstrates the relevance of an Edge-to-Cloud continuum through a concrete industrial use case: optimization of water distribution networks.
Led by LACROIX, the project spans 54 months (2024–2028) and is structured to align closely with the technical roadmap of E2CC_Platform.
Technical Objectives
E2CC_IOTWN focuses on the development of three key technological components:
- Device Management & Connectivity: Enables operational management of connected devices (updates, security, configuration) and facilitates the integration of new equipment using standard IoT protocols.
- Artificial Intelligence Modules: Detect anomalies in network data (e.g., pressure variations, predictive maintenance, …) with continuous learning capabilities and sector-based localization.
- Supervision Interface: Provides operators with a clear and concise visualization of network performance and enables feedback to improve AI models.
Synergy with E2CC_Platform
The project is closely integrated with E2CC_Platform, leveraging its deliverables—such as architecture, cybersecurity, and orchestration—to build a comprehensive and interoperable solution. This synergy allows:
- Validation of technological components in a real-world environment.
- Extension of the platform’s capabilities to broader IIoT use cases.
- Technical and strategic alignment between both projects.
Technological Challenges
E2CC_IOTWN addresses several key challenges related to Edge-to-Cloud communication:
- Interoperability: Seamless integration of heterogeneous devices and cloud platforms.
- Edge Deployment: Local execution of AI algorithms to reduce latency and ensure resilience.
- Data Synchronization: Consistent data flow and processing between edge and cloud layers.
- Cybersecurity: Secure end-to-end updates and security assets management for connected devices.
- Orchestration: Coordinated updates and supervision across distributed systems.
Experimentation and Dissemination
The developed technologies will be tested in a real-world drinking water network, with structured feedback from operational users. A dissemination strategy is also in place to promote the project’s outcomes to industrial and institutional stakeholders.