scholarly journals Video Stitching method for a Surveillance System Deployed at a Fully Mechanized Mining Face

2021 ◽  
Author(s):  
Ben Li ◽  
Yang Yang ◽  
Shanjun Mao ◽  
Mei Li
Keyword(s):  
Dynamic Range ◽  
Coal Mines ◽  
Color Difference ◽  
Single Camera ◽  
Monitoring And Control ◽  
Uniform Illumination ◽  
Video Images ◽  
Video Stitching ◽  
Mining Face ◽  
And Control

Abstract Using video stitching technology, video images with overlapping parts can be stitched into a complete image, with characteristics such as intuitiveness, visualization, and measurable analysis. This technology could be applied in the operation of coal mines for a remote monitoring and control of coal production. However, when the technology is used in coal mines, there are several challenges such as non-uniform illumination, missing scenes, and oblique panorama. In this paper, methods were purposed to solve the above problems: (1) To overcome the non-uniform illumination on a mining face, we applied the wide dynamic range technology to the images from a single camera and histogram matching algorithm on multiple images to reduce the color difference between the images; (2) To overcome the missing scene problem due to the narrow field of view (FOV) of a single camera, the SURF matching and template recognition methods are combined to achieve a stable stitching; (3) To overcome the oblique panorama issue, we applied the vertical correction technology exploiting the posture information of the camera, and then the adjacent images are concatenated. The results of practical experiments show that the proposed methods are suitable for solving the above problems in a fully mechanized mining face. The research provides a new approach for displaying extended scenes of stope faces in the intelligent collieries.

scholarly journals A robust method for dynamic image stitching on a fully mechanized mining face

2021 ◽  
Vol 18 (4) ◽  
pp. 446-462
Author(s):  
Ben Li ◽  
Shanjun Mao ◽  
Mei Li
Keyword(s):  
Production Control ◽  
Feature Matching ◽  
Dynamic Range ◽  
Image Stitching ◽  
Surveillance Systems ◽  
Robust Method ◽  
Uniform Illumination ◽  
Video Images ◽  
Video Systems ◽  
Mining Face

Abstract Video surveillance systems can be applied in coal mines for remote monitoring and for production control. Stitching video images into a panorama enhances the usability of video systems, since a panorama offers a wider view than single images do. But there are big challenges when conventional image stitching methods are applied to the domain of coal mine, especially in the mining faces. These challenges consist of non-uniform illumination, missed scenes and oblique panoramas. In this paper, a robust method was proposed to solve these three problems: (i) to overcome the non-uniform illumination on a mining face, the wide dynamic range technology and the histogram matching algorithm were used to enhance single images and reduce differences among images, respectively; (ii) to eliminate the missed scenes, overlapped images were quickly taken, then the feature matching method and template recognition method were adaptively used to achieve robust stitching and (iii) to mitigate the obliqueness of panoramas, vertical correction technology was used, which exploited the posture information of the camera. Next, the adjacent panoramas were concatenated and experiments were conducted on a fully mechanized mining face. The results show that the proposed method solves these three problems well and a dynamic panorama of the partial long-wall mining face is outputted. The research provides a new approach for displaying extended scenes of stope faces in intelligent collieries.

scholarly journals Analysis on the Development Status of Coal Mine Dust Disaster Prevention Technology in China

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hui Zhang ◽  
Weihai Han ◽  
Youlin Xu ◽  
Zhenfeng Wang
Keyword(s):  
Coal Mine ◽  
Prevention And Control ◽  
Occupational Diseases ◽  
Coal Mines ◽  
Control Measures ◽  
Dust Removal ◽  
Dust Collector ◽  
Mine Dust ◽  
Mining Face ◽  
And Control

In recent years, with the increasing level of mechanization, automation, and intelligence in mine mining, dust pollution in the working environment of coal mines has become increasingly serious. Coal mine dust prevention is an important work related to the life, health, and production safety of miners, and it is also one of the technical problems of mine safety in production. With the continuous revision and improvement of China′s Occupational Disease Prevention and Control Law, coal mining enterprises have generally strengthened the publicity, prevention, and control of occupational diseases among employees, and the control of coal mine dust has been used as a means for enterprises to improve the production environment and strengthen the occupational health of employees. Key work-based studies have shown that China’s coal mines have formed a theoretical system and technology system of dust prevention and control. In the future, China’s coal mines will start from intelligent dust prevention, achieve high-precision dust sensing-transmission-assessment and early warning, and develop a combined dust collector that integrates the functions of atomization dust removal, miniaturization, dry and wet mixing, and large air suction capacity. The combined dust collector realizes the efficient ventilation control and dust removal of the fine dust in wide-area complex spaces such as fully mechanized mining face and fully mechanized mining face. At the same time, breakthroughs have been achieved in low-permeability coal seams, such as strong hydraulic permeability-enhancing technology, intelligent dust-proof robots, and chemical dust suppression. This article introduces the basic concepts, generation, distribution, and hazards of coal mine dust and analyzes the characteristics, applicable conditions, and use effects of various dust control measures such as ventilation dust removal and wet dust removal. Moreover, this article also proposes specific prevention and control measures for related occupational diseases and discusses the development trend of dust prevention and control technology in the hope of providing guidance and reference for coal mine dust prevention and control.

Study on Safety Expert System Based on Internet of Things

2014 ◽  
Vol 962-965 ◽  
pp. 2716-2720 ◽  
Author(s):  
Liang Wang ◽  
Fei Xue ◽  
Bai Sheng Nie ◽  
Chun Liang Wang
Keyword(s):  
Expert System ◽  
Internet Of Things ◽  
Control Systems ◽  
Information Acquisition ◽  
Coal Mines ◽  
Safety Monitoring ◽  
Monitoring And Control ◽  
Monitoring And Control Systems ◽  
And Control ◽  
Development Structure

In order to realize instant and accurate safety monitoring and early warning of key segments of coal mines, the development, structure and characteristics of "Internet of Things" (IOT) were discussed, which indicated that EPC Global and Ubiquitous ID (UID) systems are the most prevalent two models and Both contain “acquisition, transmission, processing and feedback of information”. After that, the physical model of safety expert system (SES) was established based on IOT, and the information acquisition segment was also introduced, which functioned as the core in the whole system. SES was thus utilized in coal mines which include different monitoring and control systems such as underground personnel monitoring system and automatic control system of main fan, and also an application example was discussed. The results show that the SES will be of great importance in safety monitoring and alerting of coal mines and worth promotion.

Computers for data, control and simulation

1988 ◽  
Vol 46 ◽  
pp. 920-921
Author(s):  
David C. Joy
Keyword(s):  
Personal Computers ◽  
Monitoring And Control ◽  
Data Logging ◽  
Data Logger ◽  
Operational Conditions ◽  
Data Control ◽  
The Many ◽  
And Control

Personal computers (PCs) are a powerful resource in the EM Laboratory, both as a means of automating the monitoring and control of microscopes, and as a tool for quantifying the interpretation of data. Not only is a PC more versatile than a piece of dedicated data logging equipment, but it is also substantially cheaper. In this tutorial the practical principles of using a PC for these types of activities will be discussed.The PC can form the basis of a system to measure, display, record and store the many parameters which characterize the operational conditions of the EM. In this mode it is operating as a data logger. The necessary first step is to find a suitable source from which to measure each of the items of interest. It is usually possible to do this without having to make permanent corrections or modifications to the EM.

The magnitude and cost of groundwater monitoring and control in agriculture.

2016 ◽  
Author(s):  
Giacomo Giannoccaro ◽  
Armando Ursitti ◽  
Maurizio Prosperi
Keyword(s):  
Groundwater Monitoring ◽  
Monitoring And Control ◽  
And Control
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