Wireless ventilation control for large‐scale systems: The mining industrial case

TLDR

Mining ventilation control systems are critical for mine safety and energy efficiency, involving complex dynamics such as time‑delays, transmission errors, energy losses, and concentration profiles. The study proposes a new model for underground ventilation. The authors present a novel regulation architecture using a wireless sensor network and two model‑based control approaches—a nonlinear model predictive control strategy for energy minimization and a hybrid model for automatic verification—compared via simulations for regulation efficiency, energy consumption, and computational requirements. The case and control strategies demonstrate new possibilities for global system approaches that optimize energy consumption in complex large‑scale systems. © 2009 John Wiley & Sons, Ltd.

Abstract

Abstract This paper describes a new industrial case on automation, for large‐scale systems with high environmental impact: the mining ventilation control systems. Ventilation control is essential for the operation of a mine in terms of safety (CO and NO x regulation) and energy optimization. We first discuss a novel regulation architecture, highlighting the interest for a model‐based control approach and the use of distributed sensing capabilities thanks to a wireless sensor network (WSN). We propose a new model for underground ventilation. The main components of the system dynamics are described with time‐delays, transmission errors, energy losses and concentration profiles. Two different model‐based control approaches, which can embody the complex dynamics of the system, are proposed. The first one resorts to a nonlinear model predictive control strategy (receding horizon) and aims to energy minimization, thanks to a continuous operation of the fans. The second one, based on a hybrid description of the model and fans operation, provides automatic verification of the wireless control thanks to abstraction techniques. These control strategies are compared with simulations, in terms of regulation efficiency, energy consumption and the need for computational capabilities. The industrial case description and control strategies open new vistas for the development of global system approaches that allow for the optimization of energy consumption of complex large‐scale systems. Copyright © 2009 John Wiley & Sons, Ltd.