Digital transformation is essential to address critical challenges in the management and operation of water treatment and distribution systems

Aging infrastructure and increasing pressure on these systems require advanced solutions. With Plant Modeler, the risks of equipment failure are minimized, performance is optimized and drinking water availability is improved. By collecting and analyzing operational data, it reduces non-revenue water losses, minimizes energy consumption, and ensures water quality and environmental compliance. This solution provides valuable intelligence that optimizes processes and reduces operating costs.

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  • Pretreatment Phase The Plant Modeler collects data during the initial filtration and conditioning of raw water. It provides real-time information on the efficiency of these processes, allowing to detect anomalies and optimize water quality for subsequent stages.
  • Primary Treatment Continuous monitoring of key indicators such as sedimentation rates and sludge volumes. The system adjusts coagulant dosage for more efficient solid-liquid separation.
  • Secondary Treatment Analysis of operational data related to biological oxygen demand and nutrient levels. This improves treatment efficiency and ensures compliance with environmental regulations.
  • Tertiary Treatment Monitoring the performance of advanced treatment units to achieve desired water quality.
  • Water Release Plant Modeler ensures regulatory compliance by monitoring water quality, enabling safe release or reuse.

Digital Transformation

Traditional water treatment and distribution systems lack the deep data needed to improve operations. The adoption of Plant Modeler enables digitization and advanced data analysis. This includes enhanced instrumentation with smart instruments, time stamping and data historization, cloud-connected storage, integrated visibility and edge computing. In addition, it enables condition-based monitoring, energy management and enhanced cyber security.

Advanced Management

Implementing Plant Modeler in the water lifecycle involves a progression of key steps: monitoring, diagnostics, prediction, optimization and continuous learning. This solution enables comprehensive system monitoring, understanding causes and effects, anticipating and avoiding problems, improving operational efficiency and forecasting future behavior.

Applications in Diverse Sub-Industries

From agribusiness to sanitary and biological engineering, Plant Modeler adapts to multiple sectors for the water treatment sector. It facilitates efficient water management for agriculture, predictive maintenance to control leaks in sanitary engineering, can organize its data for the identification of microorganisms in water to ensure its cleanliness and promotes sustainability in environmental engineering, guaranteeing the conservation and preservation of the resource.

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