Treatment Plant Automation

Water-Treatment

Integrator of Water Treatment Plant Automation Systems

Automation and control are fundamental elements to have a correct operation of the processes that occur in a water plant. In them, one of the most pursued objectives is the saving of energy that directly affects costs. Automation saves energy costs by analyzing each of the levels of automation that can be used.

Comprehensive management

Comprehensive management of electrical and electronic systems with the implementation of protection systems. Remote monitoring platforms allow access and monitoring of the water system from any location

Flexibility with various Sensors

Solutions adjusted from start to finish depending on the requirements and needs of the plant. Maintaining the quality of the treated water. real-time data on different aspects of water, such as temperature, pH, turbidity, etc.

Advanced predictive control

It allows to automatically adjust the parameters of the predictive model to the cause-effect relationship of the process and its variations over time, the predictive adaptive control (AP).

Energy management

A set of robust and proven analysis algorithms that provide real-time electrical system management with high operating speed, availability, and comprehensive modeling environment.

What we do

Water Leakages

A water treatment plant can be considered a vast network of the water and chemicals pipes. A leakage in any of the pipes leads to a significant loss of resource and money. On top of it, the time consumed on the repairing the leak is a plus to workload of the employees.

Chemical Monitoring

In order to provide safe drinking water to the people, water treatment plants have to process the water through many stages. Chemical Induction is one of the processes in which a batch of water undergoes during its treatment.

Maintenance

With an IoT enabled smart water treatment solution, treatment plants can measure pH, oxygen, carbon, and chlorine level of the water with the help of different sensors. With these insights on hand, the users can further analyze the data and manage the plants effectively.

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