Diseño y simulación de un sistema de monitoreo en tiempo real para pozos subterráneos en en Cantón Duran

Abstract

Currently, the Municipal Sewerage and Drinking Water Company of Durán Canton (EMAPAD-EP) operates eight underground wells without an automated monitoring system, which limits the timely detection of flow, pressure, and pump failures. This creates delays in identifying problems and affects the continuity of the drinking water supply. This thesis project aims to design and simulate a real-time monitoring system to optimize well operation. Strategically located sensors and an automatic alarm system will be used to immediately notify engineers of any anomalies. Additionally, a remote monitoring platform will be developed to visualize critical parameters and make corrective decisions more quickly. Technologies such as APIs for data submission, random data generation algorithms, and tools such as Node-RED will be used for simulation. A correspondence is established between the real elements and the simulated components: the SIMATIC IoT 2050 will be represented by an API developed in Python; the physical pressure, flow, and vibration sensors will be emulated using random data generating algorithms; industrial communication via protocols such as Modbus will be replicated via HTTP between the API and Node-RED; and visualization will be performed using dashboards in Node-RED, enabling real-time operational monitoring. Virtual testing will be conducted to evaluate the system's efficiency and validate its operation before implementation. The expected results include the detailed design of the monitoring system, simulation of its operation, and an operation and maintenance protocol. The implementation of this system will improve operational efficiency and ensure a more reliable supply of drinking water for the population of Durán. Keywords: API, Node-RED, SIMATIC IoT 2050, HTTP, Modbus, underground wells