Uso de automatização em estação elevatória para auxiliar na gestão de esgotamento sanitário na cidade de João Pessoa-PB.

Abstract

The sanitary sewage system plays an essential role in promoting public health, preserving the environment, and mitigating urban risks, especially in rapidly growing cities. In this context, emerging technologies such as the Internet of Things (IoT) and cloud computing have emerged as promising alternatives to enhance the operation and planning of the system. This research was carried out with the objective of developing and applying a prototype for measuring sewage volume, installed in the Parshall flume of the Cuiá Basin Pumping Station (EE-CI) in João Pessoa–PB, Brazil. The device, considered low-cost (R$192.57), performed real-time measurements of the sewage depth, converted them into flow rates, and automatically stored the data on a cloud platform. Based on the analysis of more than 107,000 records, the study revealed that sewage generation follows a cyclical pattern influenced by social, climatic, and operational factors, providing unprecedented insights for planning corrective and preventive actions. Among the main contributions of this research is the generation of primary data on the real behavior of an urban sewage basin, filling gaps in the literature regarding flow forecasting in sewage networks, a still incipient topic in Brazil. The results demonstrate that the prototype is a satisfactory and replicable technical solution, with the potential to support preventive management actions, failure detection, and the improvement of operational efficiency in urban sewage systems.