Sistema de monitoreo de variables de macro medición para la gestión del recurso hídrico y el control de calidad de la EP-EMASA-PM,

Abstract

The research project aims to provide a system that facilitates the monitoring of macro measurement variables, for the management of water resources and water quality control automatically, allowing the results to be Viewed through web and mobile devices. Taking as reference the levels of turbidity, pH, chlorine and temperature, as the main variables in the control of water quality, while the acquisition of the level of flow and consumption are used for the management of water resources. Once these values are acquired, they are compared with the INEN 1108: 2014 standard at the national level and with the water quality guide provided by the WHO at the international level. The acquisition of the sampling data in the five drinking water container tanks is carried out twice a day, during the work day of the personnel in charge of the Public Company of Drinking Water, Sewage and Sanitation of the Pedro canton Moncayo, allowing rapid action to be taken when control of any variable that presents levels that are inadequate for human consumption is required. The monitoring system is developed around the Heltec wireless stick lite Microcontroller with free software, which allows lowering the manufacturing costs of the system. This microcontroller is responsible for receiving the variables obtained by the sensors, in order to send the information through a Gateway to the The things stack Enterprise server, using the LORA network. The information is later sent to the Node Red server where the information is managed to finally be stored in the MySQL database. This server also allows the display of information, through a dashboard, located on the localhost of the server. To provide greater access security, the record of the personnel in charge of monitoring is previously generated, based on an email and a password, which are stored in the MySQL database. To verify its functionality, tests are carried out over a period of one month with continuous data collection every 30 min, in addition to providing greater reliability, in case of power failures, an energy backup built on the basis of solar panels is incorporated, allowing store energy in Li ion batteries which allow the autonomous operation of the system in a period of 24 hours.