Michel Melo Oliveira

Improving a technical work environment encourages creativity and enhances research efforts. The conception of a modular ventilation laboratory aims at free construction and assembly of the air circuit in different shapes, sizes, and operational variations. The modules allow the development of academic experiences, automatic data acquisition from sensors, data analysis, and verification of concepts related to ventilation in underground mines. The modular ventilation laboratory uses a teaching methodology based on a playful and low-cost way to teach engineering, mainly underground mine ventilation. The aim of this work is essentially to propose the creation of a modular underground mine ventilation laboratory to facilitate engineering teaching and allow the simulation of real situations. The Plan-Do-Check-Act (PDCA) methodology was used to develop a framework for building the modular educational ventilation laboratory. This methodology encompasses project planning and studying, applying the Ventsim® software, and the design of a teaching laboratory with sensors and microcontrollers using the Internet of Things (IoT). The results involve the construction of a physical project with PVC (polyvinyl chloride) pipes and connections and electronic circuits. The project presents the main parameters monitored in underground mines and foresees the simulation of scenarios, aiming to facilitate an understanding of the concepts of fluid mechanics and mining ventilation. The conclusions indicate that using simulation in pedagogical practices develops several activities that contribute to innumerable learning and expands the network of constructive meanings as a learning strategy.

The important role of ventilation in underground mines is to ensure safety and adequate environmental conditions in all accessible areas of a mine. This research aims to develop low-cost solutions for monitoring ventilation parameters in underground mines using the Internet of Things (IoT). A comparison between standard measuring equipment and a new low-cost wearable monitoring device prototype was performed, and the variables measured in an underground mine were pressure, temperature, and relative humidity. The results in all surveys indicate that the wearable monitoring device prototype can properly be used for continuous monitoring of the underground environment. The standard measurement devices for underground mines should continuously be used by mining companies as requested by local legislation. The low-cost wearable monitoring device developed should be viewed as a redundant measurement device for operators’ safety. The constant innovations in technology can support mining operators in anticipating problems, improving productivity, ensuring safety, and meeting standards at low investments.

Finite/discrete element methods (FDEM) are hybrid numerical models that use algorithms to analyze the transition from continuous to discontinuous. This type of formulation allows modeling physical laboratory tests with greater proximity to reality. This article proposes to simulate the average behavior of a uniaxial compression test campaign. The tests were modeled and calibrated based on the strength and the fracture pattern using Geomechanica Inc. Irazu two-dimensional software. The simulated results were analyzed by the mean standard deviation of approximately 3000 elements in the middle third of the model, the same region where the clip gages are located in the physical test. The obtained results show that FDEM can replicate the laboratory test with great similarity.

Mining projects are often budgeted in millions of dollars, making it of interest to the investor to measure a project’s uncertainties and risks, which include the changes in the commodity price. The simulation of asset prices is valid because it enables displaying, with a degree of certainty, the future behavior of a financial asset. One of the most commonly used mathematical forecast models is the Geometric Brownian Motion (GBM) model. This article aims at simulating the forecast price of an iron ore commodity with the GBM method based on the historical price series and comparing it to other forecast approaches used in the financial market. The results of this study indicate that the model has limitations, which should be considered. However, it is an overall good tool to support the economic evaluation of a project, if performed along with other approaches.