Sistema inteligente de monitoreo y control para la planta de tratamiento de agua potable “El Carrizal - Salcedo” basado en IOT e inteligencia artificial

Abstract

Drinking water treatment is essential to ensure that the water we consume is safe and free of contaminants. The treatment process includes steps such as coagulation, flocculation, filtration, and disinfection; that help to eliminate impurities and harmful microorganisms.A prototype was designed which fulfills the functions of monitoring important variables for compliance with the regulations (temperature, flow, pH, conductance, turbidity), in addition to the control of pumps and solenoid valves that serve to control the supply of water that flows in each stage. The prototype was based on the three-layer IoT architecture. Two Arduino and ESP8266 microcontrollers are used as a processing unit, which collect information from the sensors and send it through the websocket protocol to a database hosted in a central server in the "Google platform" cloud. The control of solenoid valves and pumps are managed under the MQTT protocol, allowing rapid control in real time and dosage. The design of the web application was designed with the combination of the Grafana service and programming languages such as PHP, JavaScript, and HTML, for the representation of the behavior of the variables as a function of time. The system uses a Python script coded under a machine learning model (polynomial regression model), which processes the received temperature data to calculate the inactivation time and execute the dosing process. The prototype went through the design, implementation, and validation phases, which served to present a final proposal for implementation at the industrial level using equipment for the design of control architectures under the concept of industry 4.0. Proposal that was based on the architecture of the "El Carrizal" treatment plant, which is currently operational