Wireless sensor networks for gas monitoring in underground coal mining

Monitoring the concentration of gases in underground coal mines is a manda- tory process that may save lives. Wireless Sensor Networks (WSNs) can alert mine personnel when dangerous levels of gases are detected, such as methane and car- bon monoxide that may cause explosions or poisoning of workers....

Full description

Autores:
Alfonso Díaz, Iván David
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/34654
Acceso en línea:
http://hdl.handle.net/1992/34654
Palabra clave:
Redes de sensores inalámbricos
Detectores de fugas
Minas de carbón - Medidas de seguridad
Ingeniería
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description
Summary:Monitoring the concentration of gases in underground coal mines is a manda- tory process that may save lives. Wireless Sensor Networks (WSNs) can alert mine personnel when dangerous levels of gases are detected, such as methane and car- bon monoxide that may cause explosions or poisoning of workers. WSNs must be designed to cover all active mining areas throughout a specified time horizon, thus, posing a trade-off between the cost of installation (i.e., sensors) and operation (i.e., energy consumption). While most literature on node deployment for WSNs in mines focuses on single objective functions, we propose a novel two-stage approach that allows users to address both the cost of installation and the WSN lifetime: in the first stage, our model provides the lowest cost solution that satisfies a user-specified mini- mum lifetime; in the second stage, the configuration of the WSN is modified in order to maximize its lifetime, subject to maintaining the number of nodes (and, hence, installation costs) from the first stage. Illustrative examples are presented regarding two real coal mines in Boyaca? (Colombia). As an evaluation, a WSN prototype for monitoring gases was designed and implemented in a real mine. It was used to check the operation of the solution obtained by the optimization algorithm, and to perform several tests and validate some of the restrictions of the model.