Create new data services to modernise water distribution
The Société du Canal de Provence has launched a public tender to better exploit the data from its industrial assets. The challenge was to improve water distribution while creating new value-added services for its customers, thanks to a data platform capable of exploiting both IoT flows and information system data.
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In a few figures...
2 million
water-fed people
The project is situated within a critical infrastructure context, where data quality can help improve an essential service on a large scale.
70,000
Connected objects to integrate
The platform designed by JEMS must capture and exploit a very large volume of IoT data to industrialise new uses for water.
28
Planned use cases
The project isn't limited to a technical foundation: it aims to create a wide range of 4.0 services, from remote meter reading to irrigation optimization.
The project
Our approach
JEMS has been selected to deploy a Data Centric approach capable of transforming SCP's data assets into a true data production and operation factory. The intervention covers the complete integration of IoT streams and IT data, in order to feed concrete business use cases around billing, leak detection and irrigation improvement.
The diagnosis
JEMS has been selected to deploy a Data Centric approach capable of transforming SCP's data assets into a true data production and operation factory. The intervention covers the complete integration of IoT streams and IT data, in order to feed concrete business use cases around billing, leak detection and irrigation improvement.
The key deliverables
- Setting up a secure architecture
- Ingestion of IoT telemetry data and the SCP information system
- Data estate modelling
- Creation of datasets and APIs to expose use cases
- Water channel modelling dashboard creation
How can the Provence Canal Company create new services in water routing using data?
The benefits
Better control of water flows
The platform enables better use of field data to improve the management of water supply.
Fairer billing
The transition from an annual manual meter reading to a remote reading system paves the way for more accurate billing.
Better leak detection
The continued exploitation of data allows for the earlier identification of certain anomalies on the network.
New services for customers
The project is preparing value-added uses, particularly around agritech and weather-based irrigation.
An industrialised data foundation
The integration of IoT and SI data onto the same platform creates a robust foundation for multiplying use cases.
The 6-step approach
1. Start with a public service issue
The project was designed to address concrete challenges concerning water supply, service quality, and the creation of new uses.
2. Collect large-scale data
JEMS structured the integration of data from connected objects and the SCP's information system.
3. Securing and modelling data assets
The platform was conceived as a secure architecture capable of sustainably structuring the collected data.
4. Prepare datasets and APIs
The data is intended to be transformed into datasets and exposed via APIs to drive business use cases.
5. Equip for visual piloting
Dashboards are created to model water channels and facilitate operational use of information.
6. Paving the way for new services
The entire system prepares for the gradual launch of multiple data-driven 4.0 services.
