GS Inima, a global benchmark in the water treatment sector, reaffirms its leadership in digital transformation by integrating a pioneering system for the real-time detection and characterization of discharges. Developed by AQUACORP in collaboration with GS Inima as the implementation and real-world validation partner, this solution represents a significant advancement in the automated monitoring of wastewater treatment processes, aligning operational efficiency with the highest standards of sustainability and environmental protection.

The implemented solution is based on an advanced, non-contact model for continuous water quality estimation, which combines image analysis, spectroscopy, and neural networks applied to visual processing. Following a calibration process that correlates optical data with physicochemical analytics, the system can estimate various parameters of interest in real time and identify different water matrices with a high degree of accuracy.

Currently, the system is in production at strategic facilities such as El Quiñón de Seseña and Numancia de la Sagra, where it has already demonstrated its capability to identify and respond to irregular discharge events through:

• Categorization into different water typologies based on their optical descriptors (e.g., Typology I, II, and III).
• Physicochemical characterization of each of these typologies.
• Solids detection: identification of atypical elements such as foam and floating materials.
• Early warnings: detection of anomalies that elude conventional control patterns.

A model of continuous learning and analytical rigor

GS Inima and AQUACORP are currently collaborating closely on a continuous improvement and system retraining protocol. This process allows the models to evolve and progressively adapt to complex water scenarios—including low-frequency water typologies—by expanding the optical reference database and correlating it with analytical data obtained in real-world environments.

The system is supported by a robust data validation model:

• Automated Sampling: 24 samples are collected daily.
• Laboratory Validation: Specialized AQUACORP technicians select specific samples (between 3 and 5) for physicochemical analysis, correlating computer vision with the actual composition of the water.
• Cloud Data Management: integration into a digital platform developed by AQUACORP, which enables real-time visualization, access to historical data, alert generation (via email/WhatsApp), and report exporting for decision-making.

Furthermore, the solution can be integrated with GS Inima’s corporate systems, either through a direct connection to the installed equipment or via API, facilitating its incorporation into daily operations.

By integrating AQUACORP’s technology, GS Inima not only strengthens its response capability against pollution events but also consolidates its position at the forefront of the water cycle’s digitalization. This project reaffirms the company’s mission to apply technological innovation to guarantee high-quality water resources and protect natural ecosystems.