An Innovative Platform to Minimize Discharges

iPREDICE Phase III aims to develop a platform based on artificial intelligence and experimental data to anticipate and prevent uncontrolled discharges into the natural environment. This solution will allow for:

• Real-time monitoring of relief points in the sanitation network.
• Predicting discharges with sufficient lead time to activate preventive mechanisms.
• Detecting and locating uncontrolled discharges, facilitating the identification of their origin.

This technology is initially being implemented in the city of Puerto Real, with plans for expansion to other public and private operators, contributing to the overall improvement of urban sanitation networks.

A Project Aligned with National and European Strategies

The iPREDICE Phase III project is not an isolated initiative but is developed within the framework of national and European strategies aimed at modernizing infrastructure. In previous phases, the consortium behind iPREDICE has worked on developing predictive maintenance systems in various fields:

• Phase 1: Application in photovoltaic plants (AEI 2021b Call).
• Phase 2: Monitoring of water supply networks (AEI 2022b Call).

In this third phase (Phase 3), iPREDICE reaffirms its commitment to sustainability and efficiency, aligning with the objectives of the Recovery, Transformation, and Resilience Plan, as well as the National Artificial Intelligence Strategy.

Collaboration and Funding

iPREDICE Phase III is funded under the Digital Technologies Projects line of the 2024 Call for Aid to Innovative Business Groups (AEI), promoted by the Ministry of Industry and Trade of the Government of Spain.

Project Participants:

• Coordinator: Smart City Cluster
• Collaborators: Catalan Water Partnership, GEN Puerto Real, ANUKYS EUROPE SL, and ITELLIGENT Information Technologies, SL

Key Dates:

• Start: 27/07/2024
• Completion: 05/07/2025

The integration of artificial intelligence in the digitalization of the water cycle marks a milestone in the transition toward more resilient and efficient smart cities. Initiatives like iPREDICE Phase III drive sustainable water management, reducing negative impacts and ensuring a greener future for all.

La entrada iPREDICE Phase III: AI for Reducing Discharges in Smart Cities se publicó primero en ITELLIGENT.

Scientific Publications

When working with scientific publications, the first standards we encounter are Open Researcher and Contributor ID (ORCID) and Digital Object Identifier (DOI). Both are unique identifiers in the academic field, but they serve different purposes. Let’s examine their differences:

DOI is an identifier used to permanently locate digital publications, ensuring their accessibility over time. Its main advantage is preventing broken links to documents, facilitating the consultation of academic and scientific information without the risk of loss.

Below is an example of an article published in a journal with the following DOI: https://doi.org/10.1016/j.heliyon.2023.e22739.

On the other hand, ORCID is a unique identifier that allows a researcher to be recognized throughout their career, even if they change their name or affiliation. Its use is essential for linking all an author’s publications across various databases, ensuring proper attribution and visibility of their work.

Below is an example of a researcher’s ORCID: https://orcid.org/0000-0003-4878-3107.

Statical Data

In the projects we have conducted with statistical data, we have encountered two standards that are often confused: Data Documentation Initiative (DDI) and Statistical Data and Metadata Exchange (SDMX). Both are standards for data documentation and exchange, but they have different approaches:

Here is an example of a survey in DDI (Data Documentation Initiative) format:

Finally, an example of statistical data in SDMX (Statistical Data and Metadata Exchange) format. This example represents the quarterly unemployment rate in a country:

La entrada Standards in Statistical Data and Research: ORCID, DOI, DDI, and SDMX se publicó primero en ITELLIGENT.