Wireless Communication and Environment Monitoring in Underground Coal Mines – Review

Dohare, Yogendra Singh; Maity, Tanmoy; Das, P.; Paul, Partha Sarathi

doi:10.1080/02564602.2014.995142

Cited by 68 publications

(36 citation statements)

References 18 publications

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“…However, the bandwidth can be limited because of relatively limited narrow spaces, harsh environment diffraction, attenuation, and multi-path effect in underground mines. The problem can be especially serious when disasters such as explosion and collapse occur [2]. Therefore, it is necessary to investigate image compression methods in order to save the transmission bandwidth.…”

Section: The Image Compression Demand From Underground Minesmentioning

confidence: 99%

“…2D-DWT is performed on the image patches within the "window" to derive the decomposition. We define the local low frequency DW-SSIM S L,t and high frequency DW-SSIM S H,t of the image patches as S L,t (c (1) , c (2)…”

Section: Discrete Wavelet Similarity (Dw-ssim) and Dw-ssim Lossmentioning

confidence: 99%

“…In Equations 7and 8, K is a small positive constant for arithmetic robustness and K is set to 0.01. c (1) and c (2) refer to the corresponding subband images of the original image patch and the recovered image patch after 2D-DWT, respectively. The wavelet function we use is the Haar wavelet.…”

Section: Discrete Wavelet Similarity (Dw-ssim) and Dw-ssim Lossmentioning

confidence: 99%

“…To better understand Equation 7, one can ignore K, "vectorize" (as in Section 2.2.1) c into c v and rewrite it as S L,t (c (1) , c (2)…”

Section: Discrete Wavelet Similarity (Dw-ssim) and Dw-ssim Lossmentioning

confidence: 99%

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An Image Compression Method for Video Surveillance System in Underground Mines Based on Residual Networks and Discrete Wavelet Transform

Zhang

Chen

et al. 2019

Electronics

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Video surveillance systems play an important role in underground mines. Providing clear surveillance images is the fundamental basis for safe mining and disaster alarming. It is of significance to investigate image compression methods since the underground wireless channels only allow low transmission bandwidth. In this paper, we propose a new image compression method based on residual networks and discrete wavelet transform (DWT) to solve the image compression problem. The residual networks are used to compose the codec network. Further, we propose a novel loss function named discrete wavelet similarity (DW-SSIM) loss to train the network. Because the information of edges in the image is exposed through DWT coefficients, the proposed network can learn to preserve the edges better. Experiments show that the proposed method has an edge over the methods being compared in regards to the peak signal-to-noise ratio (PSNR) and structural similarity (SSIM), particularly at low compression ratios. Tests on noise-contaminated images also demonstrate the noise robustness of the proposed method. Our main contribution is that the proposed method is able to compress images at relatively low compression ratios while still preserving sharp edges, which suits the harsh wireless communication environment in underground mines.

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Section: The Image Compression Demand From Underground Minesmentioning

confidence: 99%

Section: Discrete Wavelet Similarity (Dw-ssim) and Dw-ssim Lossmentioning

confidence: 99%

Section: Discrete Wavelet Similarity (Dw-ssim) and Dw-ssim Lossmentioning

confidence: 99%

“…To better understand Equation 7, one can ignore K, "vectorize" (as in Section 2.2.1) c into c v and rewrite it as S L,t (c (1) , c (2)…”

Section: Discrete Wavelet Similarity (Dw-ssim) and Dw-ssim Lossmentioning

confidence: 99%

See 2 more Smart Citations

An Image Compression Method for Video Surveillance System in Underground Mines Based on Residual Networks and Discrete Wavelet Transform

Zhang

Chen

et al. 2019

Electronics

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“…Now, this concept can be divided into separable categories of wireless communication and expert systems for safety and rescue in underground mines, personal position monitoring, and database systems. A wide range of literature on the present wireless communication and environmental monitoring in underground coal mines is summarized in [11]. WSNs use in underground mines is a new area of research [12].…”

Section: Related Workmentioning

confidence: 99%

An Event Reporting and Early-Warning Safety System Based on the Internet of Things for Underground Coal Mines: A Case Study

Khan

2017

Applied Sciences

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Fatal accidents associated with underground coal mines require the implementation of high-level gas monitoring and miner's localization approaches to promote underground safety and health. This study introduces a real-time monitoring, event-reporting and early-warning platform, based on cluster analysis for outlier detection, spatiotemporal statistical analysis, and an RSS range-based weighted centroid localization algorithm for improving safety management and preventing accidents in underground coal mines. The proposed platform seamlessly integrates monitoring, analyzing, and localization approaches using the Internet of Things (IoT), cloud computing, a real-time operational database, application gateways, and application program interfaces. The prototype has been validated and verified at the operating underground Hassan Kishore coal mine. Sensors for air quality parameters including temperature, humidity, CH 4 , CO 2 , and CO demonstrated an excellent performance, with regression constants always greater than 0.97 for each parameter when compared to their commercial equivalent. This framework enables real-time monitoring, identification of abnormal events (>90%), and verification of a miner's localization (with <1.8 m of error) in the harsh environment of underground mines. The main contribution of this study is the development of an open source, customizable, and cost-effective platform for effectively promoting underground coal mine safety. This system is helpful for solving the problems of accessibility, serviceability, interoperability, and flexibility associated with safety in coal mines.

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Development of a search and rescue robot system for the underground building environment

Wang

Ding

et al. 2023

Journal of Field Robotics

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The underground building environment plays an increasingly important role in the construction of modern cities. To deal with possible fires, collapses, and so on, in underground building space, it is a general trend to use rescue robots to replace humans. This paper proposes a dual-robot system solution for search and rescue in an underground building environment. To speed up rescue and search, the two robots focus on different tasks. However, the environmental perception information and location of them are shared. The primary robot is used to quickly explore the environment in a wide range, identify objects, cross difficult obstacles, and so on.The secondary robot is responsible for grabbing, carrying items, clearing obstacles, and so on. In response to the difficulty of rescue caused by unknown scenes, the Lidar, inertial measurement unit and multiview cameras are integrated for large-scale 3D environment mapping. The depth camera detects the objects to be rescued and locate them on the map. A six-degree-of-freedom manipulator with a two-finger gripper is equipped to open doors and clear roadblocks during the rescue. To solve the problem of severe signal attenuation caused by reinforced concrete walls, corners and long-distance transmission, a wireless multinode networking solution is adopted. In the case of a weak wireless signal, the primary robot uses autonomous exploration for environmental perception. Experimental results show the robots' system has high reliability in over-the-horizon maneuvering, teleoperation of the door opening and grasping, object searching, and environmental perception, and can be well applied to underground search and rescue.

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Wireless Communication and Environment Monitoring in Underground Coal Mines – Review

Cited by 68 publications

References 18 publications

An Image Compression Method for Video Surveillance System in Underground Mines Based on Residual Networks and Discrete Wavelet Transform

An Image Compression Method for Video Surveillance System in Underground Mines Based on Residual Networks and Discrete Wavelet Transform

An Event Reporting and Early-Warning Safety System Based on the Internet of Things for Underground Coal Mines: A Case Study

Development of a search and rescue robot system for the underground building environment

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