Research on Mine Safety Monitoring System Based on WSN

Jiang, Tiantian; Zhanyong, Yang

doi:10.1016/j.proeng.2011.11.2418

Cited by 10 publications

(4 citation statements)

References 4 publications

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“…3) The third is to capture more real underground environmental data in time by employing wireless sensor network technology so that more coal mine information can be analyzed for decision making purpose. Typical work of this category can be found in [7][8][9]. Although most of the coal mines have set up various kinds of safety monitoring and controlling systems, these systems only support on-site monitoring and controlling and official and safety related staff can only check the coal mining environment and response to changing safety situations appropriately in the office.…”

Section: Related Workmentioning

confidence: 99%

Research on Mobile Coal Mining Safety Monitoring System

2013

AMM

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Time and information are without doubt two key factors for successful coal mine emergency management. The advancement of information technology has brought new opportunities to improve coal mine safety. In this paper, a mobile coal mining safety monitoring system is introduced. The objective of the system is to help coal mine official acquire the real production environment data influencing mine safety in time anywhere and anytime thus be capable of responding to the matters arising immediately. The architecture of the system is proposed and it contains three layers including data acquisition layer, server application layer, and mobile client layer. Then, the system implementation details are elaborated. A use scenario is taken to demonstrate how the system can help safety official and relevant staff of the coal mine to respond to the changing mine production situation quickly and make time-critical decisions.

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Section: Related Workmentioning

confidence: 99%

Research on Mobile Coal Mining Safety Monitoring System

2013

AMM

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“…A WSN is also an amalgamation of an integer of motes with limited communication ability. The co-ordination between the sensor nodes provides ability to process and to gather information in a large amount [3,4]. Also, ad-hoc networks can be created.…”

Section: Introductionmentioning

confidence: 99%

Smart Environment Monitoring System Using Wired and Wireless Network: A Comparative Study

Mujawar¹,

Deshmukh²

2020

Atmospheric Air Pollution and Monitoring

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This chapter focuses on the implementation of a smart environment monitoring system using wired and wireless sensor networks (WSN). The goal was to develop a LabVIEW based system to monitor environmental parameters that provide inaccessible, real-time monitoring. The development of portable and efficient environment monitoring system based on LabVIEW GUI that monitors various environmental parameters such as temperature, relative humidity, Air quality and light intensity was developed. This chapter targets on both wired and wireless approach for environment monitoring. The limitations of wired network were explained by flourishing the portable system. For proceedings with the impediment and insufficiency of wired network, Arduino augmentation ascendancy, are mingled with XBee wireless sensor network. The data from the environment was sent to the sink node wirelessly through mote. Monitoring of the data was done in a personal computer (PC) through a graphical user interface made by LabVIEW. The pertinent sensor for each was connected to analog input of Arduino UNO and their values are displayed on front panel of LabVIEW. LabVIEW run time engine makes the system cost effective and facile. To reveal the effectiveness of the system, some measurement results are also predicted in this chapter.

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“…All compounds belong to the methane principally, one of the most dangerous gas is the "gray gas", which consists of methane gas created by the decomposition of organic materials within the coal itself [19]. The gases generated inside of coal mines are such as: Carbon monoxide, carbon dioxide, methane, hydrogen sulfide and in some cases depending on the type of coal since it can find even of ethane in big quantities [14,15]. Besides, the toxicity and the possibility to burs these gases present is that makes the work of the miners highly dangerous.…”

Section: Introductionmentioning

confidence: 99%

“…If this technology is related to a wireless data transmission, which has had a rapid development in recent years in different sectors (security, environment, industry, agriculture, etc.) [7,[14][15][16][17], a Wireless Electronic Nose system would have great advantages, in addition to a greater reliability to obtain a good data set; the most recognized advantage is the low cost of the installation due to a large sections of certified wiring, and are not required under hostile circumstances, achieving a reliable and low-cost equipment for coal mines [18].…”

Section: Introductionmentioning

confidence: 99%

Wireless Smell System for Hazardous Gases Detection

Acevedo¹,

Monsalve²,

Rozo³

2018

Preprint

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This study describes the design and implementation of an electronic nose, which was applied to classify and identify hazardous gases generated in underground coal mines. For this purpose, an electrochemical sensor array was used to detect a set of toxic gases. This work illustrates the electronic components of a wireless multisensory system for the toxic gases detection on indoor environments (i.e., underground mines), which was performed with reduced size, low cost and low electrical consumption, in order to detect different compounds using the basic principle of operation of each component to be applied to the target gas. Furthermore, the sample collection, data communication and data processing in real time obtained an excellent performance for gas sensing and even to measure the concentration level of the chemical volatile compounds transmitted from different points of the detection zone. The results demonstrated that using a wireless electronic nose for toxic gases detection was possible to reach a success rate of discrimination of 97%, using principal components analysis (PCA) and Linear Discriminant Analysis (LDA).

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Research on Mine Safety Monitoring System Based on WSN

Cited by 10 publications

References 4 publications

Research on Mobile Coal Mining Safety Monitoring System

Research on Mobile Coal Mining Safety Monitoring System

Smart Environment Monitoring System Using Wired and Wireless Network: A Comparative Study

Wireless Smell System for Hazardous Gases Detection

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