Lifetime optimization of Wireless Sensor Networks for gas monitoring in underground coal mining

Alfonso, Iván; Gómez, Camilo; Garcés, Kelly; Chavarriaga, Jaime

doi:10.1109/icccc.2018.8390462

Cited by 10 publications

(6 citation statements)

References 7 publications

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“…Some of the works related to coal mining safety using different technologies are described in this section. Alfonso et al [1] proposed an optimization approach for the implementation of wireless sensor networks considering ground level mining to detect gases. They suggested a two-stage solution for reducing evaluation costs while increasing the lifespan of Wireless Sensor Networks.…”

Section: Related Workmentioning

confidence: 99%

Data Acquisition Using IoT to Monitor Coal Mining Environment

Savitha¹,

Deepak²,

Deepak³

2021

Atlantis Highlights in Computer Sciences

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Coal is one of the most important non-renewable resource which contributes to majority of power production and used in many industries. The study here presents an innovative, efficient method needed to increase the mining productivity and reduce costs while also considering worker safety. In underground mining, many parameters such as toxic gases released, temperature, air pressure, humidity and fire must be controlled. The proposed system makes use of Internet of Things (IoT) technology in the coal mining environment to build an effective safety system. The system consists of a network of sensors that are used in different places of the mining environment to collect real time data. Arduino senses its environment by processing feedback from a variety of sensors. The results demonstrate that the real time data collected can be used to detect changes in the environment and raise an alarm or message to the end user to avoid disasters.

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Section: Related Workmentioning

confidence: 99%

Data Acquisition Using IoT to Monitor Coal Mining Environment

Savitha¹,

Deepak²,

Deepak³

2021

Atlantis Highlights in Computer Sciences

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“…In 2018, Ivan Alfonso, Camilo Gomez, Kelly Garces Jaime Chavarriaga proposed a optimization methodology for the deployment of wireless sensor networks to monitor gases in underground coal mining. They proposed two stage approaches for minimizing deployment costs and maximizing WSN lifetime [2]. In 2017, Mohd Anas, Syed Mohd Haider, Prateek Sharma proposed the gas monitoring system they implemented a system to monitor the real time gases.…”

Section: Literature Reviewmentioning

confidence: 99%

IOT Based Wireless Safety System for Monitoring the Physiological and Environmental Variables of Mine Workers.

Dabhade¹,

Gajare²

2019

IJRTE

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The coal mining is essential as well as a risky venture. The miners working here need to handle the extreme environmental condition and the physiological hazardous without specialized examination. A continuous monitoring of the environmental change and the physiological variables is needed in order to enhance the condition for people and the equipment. A Continuous monitoring of the environmental gases and the physiological variables is the major challenge and need to be followed for safety of workers working in mine. This paper present the design and the implementation of real time monitoring device to measure the physiological variables and the gases present in the mining. The proposed system consists of physiological variables, ECG signal, respiratory activity, body temperature, fall detection and also the environmental gases. The sensors will be embedded throughout the T-shirt to measure the variables. The device will monitor the real time data and wireless communication network will be provided by using Wi-Fi link module. By using IOT it is easy to upload the data on the web server and it also provides data security.

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“…With the rapid development of wireless communication and sensor technology, wireless sensor networks are widely used in the field of coal mines to meet the needs of intelligent coal mines. [1][2][3][4] However, unlike other areas, the mine working face is an environment that develops dynamically with the mining progress, and the wireless nodes can only run on batteries. Once the nodes are arranged, due to the poor environment, the sensor cannot replace the battery, which leads to the short life of wireless network and reduces the practicability of the wireless sensor network in the coal mine.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study on aerodynamic performance of mine air duct horizontal axis wind turbine based on breeze power generation

Gui

Xue

et al. 2022

Energy Science & Engineering

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The development of wireless sensor network based on breeze power generation is of great significance to promote the development of the intelligent mine. According to the underground environment of coalmine, a small horizontal axis wind turbine with mine air duct was designed. The aerodynamic performance of the wind turbine was analyzed by constructing the three‐dimensional solid model of the wind turbine. The results show that under the condition of underground low wind speed. Outer basin: the air flow entering the air duct is accelerated and rectified, and the speed increases near the impeller. The pressure value at the front end of the blade is the largest and the pressure value at the rear end of the blade is the smallest. A certain range of negative pressure zone is formed at the rear end of the impeller, which is conducive to the operation of the wind turbine. After passing through the impeller, the speed of the air flow decreases and is the lowest near the impeller rotating shaft. Inner basin: the air flow speed gradually increases along the radial direction of the impeller center. The pressure at the front end of the blade is greater than the atmospheric pressure, which is conducive to facilitating the operation of the wind turbine. When the wind speed reaches the rated wind speed of the wind turbine, the power, torque, and output power of the wind turbine increase, which can provide effective power generation. Compared with other airfoils, NACA5505 airfoil has higher lift drag ratio and thrust coefficient. Compared with the wind turbine without air duct, the wind turbine with air duct has higher wind energy conversion and output power under the condition of low Reynolds number, which verifies the feasibility of the wind turbine with air duct.

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Lifetime optimization of Wireless Sensor Networks for gas monitoring in underground coal mining

Cited by 10 publications

References 7 publications

Data Acquisition Using IoT to Monitor Coal Mining Environment

Data Acquisition Using IoT to Monitor Coal Mining Environment

IOT Based Wireless Safety System for Monitoring the Physiological and Environmental Variables of Mine Workers.

Study on aerodynamic performance of mine air duct horizontal axis wind turbine based on breeze power generation

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