Coal Mine Monitoring System Research Articles

Noise Reduction Based on Improved Variational Mode Decomposition for Acoustic Emission Signal of Coal Failure

Acoustic emission (AE) signal processing and interpretation are essential in mining engineering to acquire source information about AE events. However, AE signals obtained from coal mine monitoring systems often contain nonlinear noise, limiting the effectiveness of conventional analysis methods. To address this issue, a novel denoising approach using enhanced variational mode decomposition (VMD) and fuzzy entropy is proposed in this study. The denoised AE signal’s spectral multifractal features are analyzed. The optimization algorithm based on VMD with a weighted frequency index is introduced to avoid mode mixing and outperform other decomposition methods. The characteristic parameter Δα of the AE spectral multifractal parameter serves as an early warning indicator of coal instability. These findings contribute to the accurate extraction of time–frequency features and provide insights for on-site AE signal processing.

IoT and LoRa based smart underground coal mine monitoring system

IoT and LoRa based smart underground coal mine monitoring system

Safety Monitoring System in Coal Mine Using IoT

The key abstract is to use IoT to incorporate a coal mine safety monitoring system. The extraction of coal from the field is known as coal mining. Coal is used as a fuel in the steel and cement industry to extract iron from ore and to manufacture cement. Every parameter in the underground mining industry must be controlled on a regular basis, including methane gas, high temperatures, fire incidents, and so on. The level of safety in coal mines is still poor, resulting in fatalities. A coal mineshaft salvage action is profoundly perilous because of various elements. It is particularly risky for rescuers to enter a coal mineshaft burrow in a debacle without earlier attention to the climate on the grounds that ensuing blasts are probably going to happen at any second. It is along these lines basic to recognize unstable climate data like toxic gases and high temperatures, just as to direct a visual review of excavators caught in a fell passage through the imploded burrow. These information would aid rescuers in devising a strategy and equipping themselves to carry out the rescue operation defensively. This paper proposes a design for coal mines that will reduce the damage caused by a coal mine accident and allow for a more effective rescue operation.

Design and Application of Intelligent Monitoring and Identification System in Coal Mine

In order to speed up the construction of smart mines, aiming at the problems of inspection and monitoring of important equipment such as belt conveyor and water pump room in coal mines, an intelligent monitoring and identification system for coal mines was developed, and its composition and realization functions were introduced. The system integrates the functions of data collection, video monitoring, intelligent analysis and fault alarm, and intelligently monitors the underground production site and large-scale equipment, realizing unattended operation, which provides powerful support for digital mine construction.

Zigbee-based wireless gas monitoring sensor alarm system in coal mine

In view of the underground monitoring and monitoring system of coal mine, wired data transmission has been used in the past, but there are some disadvantages such as complicated wiring work, large amount of labor, fixed network structure which is not convenient to meet the dynamic requirements and low stability. Therefore, this study designs a monitoring system based on ZigBee wireless sensor network, wireless transmission, strong mobility, high reliability, low power consumption, strong real-time performance, etc, can be real-time monitoring of the coal mine environment parameters, including downhole temperature, humidity and gas concentration, and the acquisition of information sent by ZigBee wireless transmission way. STM32F103RBT6 is adopted as the wireless network processor in the system, which is responsible for establishing the network and transmitting data. NDIR HC sjh-5 CUBIC gas concentration sensor to collect underground mine data; Wireless SZOS embedded wireless communication module is used as the wireless sending and receiving port to enhance the wireless sending power. The software architecture adopts ZigBee protocol stack. The research shows that the proposed ZigBee wireless sensor network based coal mine underground gas monitoring system can help improve the real-time monitoring level and reduce safety risks in the complex and special environment of coal mine underground.

Research on network layout strategy of mobile opportunity perception in coal mines

The underground coal mine monitoring system has high costs of large-scale application, the network is not easy to expand, and it is difficult to achieve complete coverage of coal mines. To solve these problems, this paper presents a new data acquisition and transmission method based on 'wired + wireless', 'A, B, C and D class mobile node'. The method, combining the existing wired network and wireless network in the coal mine, using sparse heterogeneous converged networks centred on opportunistic networks, analyses the composition, function, connection law and historical information of four types of node and the system structure. Experimental results show that this method can further realise the dynamic planning of the node interaction path. Then, it predicts and corrects the data of artificial mobile nodes and fixed interaction information in the next cycle. Finally, it achieves a powerful guarantee for internet of things, interaction of objects, intelligent perception, and intelligent processing in the mine safety management.

Design of dust monitoring system in coal mine

Coal dust is one of the main factors affecting the safety of coal mine production and the life and health of workers. In order to accurately and efficiently monitor the coal dust generated in the production process, the measurement system is designed and the non-contact dual-light proportional difference detection method is adopted. Through calculation and simulation, the parameters of the key link are calculated, and the on-line concentration monitoring system, which is suitable for wide field and wide measurement range is designed. Experimental data show that the reliability and accuracy of the measurement system meet the design requirements.

Remote fault analysis platform of coal mine monitoring system

Remote fault analysis platform of coal mine monitoring system

Design and Reliability Analysis of Security Mechanism of Wireless Sensor Network Monitoring System of Coal Mine

In the design of the system, the construction and analysis of the system reliability model can help engineers to optimize the network structure. In order to evaluate the reliability of security monitoring and monitoring more comprehensively, on the one hand, the backup redundancy of key nodes is discussed on the basis of discussing the importance of key nodes of down hole sensors; on the other hand, consider the ground station and the data transmission reliability and failure analysis of dynamic base station, parallel redundancy design, three redundant data retransmission mode for data transmission, to improve the reliability of the whole system. The reliability of the proposed method of sensor network monitoring and transmission link increase, combined with the topological structure, greatly improves the reliability of the monitoring system, provide a basis for the reliable delivery of information.

Failure Characteristic and Fracture Evolution Law of Overburden of Thick Coal in Fully Mechanized Sub-level Caving Mining

In mining process, the height of water flowing fractured zone is important significance to prevent mine of water and gas, in order to further research the failure characteristic of the overlying strata. Taking certain coal mine with 5.82 m mining height as the experimental face, by using the equipment which is sealed two ends by capsules in borehole, affused measurable water between the two capsules and borehole televiewer system, ground penetrating radar, microseismic monitoring system in underground coal mine, the height of water flowing fractured zone of fully-mechanized top caving are monitored, a numerical simulation experiment on the failure process was conducted, a similarity simulation experiment on the cracks evolution was conducted, at the same time, empirical formula of traditional was modified, The results showed that the height of caving and fractured zones were respectively 43.1 and 86.7 m in fully mechanized sub-level caving mining. The data difference of each test method of caving, fractured and water flowing fractured zones were respectively less than 4.5%, 7.1% and 9.0%. The degree of fracture development was low before mining, the number of fissures was obviously increased after mining, the degree of fracture development increased. The fractures cluster region mainly focuses near the coal wall. The fractures density distribution curves of overlying strata like sanke-shapes. The new and adapt to certain coal mine geological conditions empirical formula of water flowing fractured zone height is proposed.

Effect of mining rate on the working face with high-intensity mining based on microseismic monitoring: a case study

Serious geological disasters and environmental damage have been caused by the high-intensity mining in Western China. The mining rate of the working face is one of the important factors of high-intensity mining. In order to study the effect of mining rate on the working face in high-intensity mining, we introduced the microseismic (MS) monitoring system in Xiaojihan coal mine, which is a typical high-intensity mine in Western China. This research indicates that the number of MS events and the stress redistribution zones induced by coal excavation reduced with the increase in mining rate. Consequently, the volume of rock with inelastic change and failure zones decreased. Since the uniformity of stress redistribution was even worse, the energy release was unstable and dynamic geological disasters could occur. Determining the reasonable mining rate of a working face by analyzing the characteristics of MS parameters is feasible, and could provide some technical guidance for mining production activities.

ZIGBEE BASED MINE SAFETY MONITORING SYSTEM WITH GSM

In this work, a safe Coal Mine Monitoring system which replaces the traditional coal mine monitoring systems which tend to be wired network systems. This play an important role in coal mine safe production. With continuous enlarging of exploiting areas and extension of depth in coal mine, many laneways become monitoring blind areas, where are lots of hidden dangers. Moreover, it is inconvenient to lay cables which are expensive and consume time. In order to solve the problems, we designed a coal mine safety monitoring system based on wireless sensor network, which can improve the level of monitoring production safety and reduce accident in the coal mine. Zigbee technology provides a direction for scientists who commit to solve the safety monitoring problems of coal mine. The purpose of this study is to propose a solution suitable to mine wireless communication, safety monitoring, give a proof to the further study.

A Study on Application of Real-Time Online Analysis of Ventilation Safety Data Based on Coalmine Monitoring System

Due to poor coalmine monitoring system data utilization and relatively high threshold for application of most application software in ventilation safety field, a multi-perspective coalmine ventilation management technology, with the goal of daily ventilation safety management, is introduced based on the real-time data from the coalmine monitoring system. Specifically, data acquisition unit is adopted to collect monitoring data in a real-time manner, and then integration of ventilation and coalmine gas data is made. After that, real-time online data analysis and display can be realized by using smart guidance and multi-screen linkage technologies according to chained features of the data. In this way, daily management interfaces based on specialized knowledge are shown in a friendly manner. Therefore, the technology proposed here can greatly improve coalmine management level and work efficiency. At the end, Huangling No. 2 coalmine is taken as an example to validate the relative technologies.

Development and Design of Embedded Control Systems for Coal Mine

China's coal mine monitoring system and scientific management level is relatively backward. Environmental information of coal mine is difficult to achieve control and sharing. Combining with the traditional model of the safe production of coal, the author presents a new monitoring system structure of coal mine based on embedded technology to achieve the aboveground control and underground monitoring of coal mine. By combining control instance of monitoring system, this paper focuses on the safety production monitoring system design and implementation of coal mine, and describes the design methods for monitoring system, which is helpful for China's coal production safety.

Design of Multi-Protocol Converter under Coal Mine Based S3C2440

In recent years, China's coal industry accidents occur frequently, seriously affect the development of the coal industry, for the job site in the coal mine monitoring system installed several monitoring of coal mine production equipment to ensure safety and reliable operation of equipment. However, a plurality of building monitoring system meets some problems, such as reducing the waste of resources and production costs, and improve the level of safety management, the use of embedded technology designed S3c2440 based multi-protocol converter, prompting the original coal use different protocols and applications compatible with a variety of monitoring systems, monitoring of information data seamless transfer and access into the Ethernet switch, the status of the mine production equipment is transferred to the centralized control center for centralized management. This paper will be based on coal mine multi-protocol converter design S3c2440 detailed analysis and research.

Coal mine monitoring system based on ZigBee wireless sensor networks

Coal mine monitoring system based on ZigBee wireless sensor networks

Research on Remote Condition Monitoring System in Coal Mine

In this paper, the signal sources of communication system are described in coal mine firstly, and then a kind of remote condition monitoring system based on the OFDM technology is presented. This system makes wire communication combined mutually with wireless communication by tandem adapter. Wireless communication is used in mining area or in the time of sudden accident, Power line or fiber-optic is used in main lane. This system makes use of the advantage of OFDM technology to provide many kinds of access service in mine. There are different grades and different rates for many consumers at the same time in these access services. The different modulation methods of sub-carries in this system increase flexibility and adaptability. The system not only fulfils the usual demand of produce communication monitoring, but also considers sudden accident, attains the state where the mining area arrives where the signal transports. This paper analyzed feasibility of the system based on some simulation tests finally.

Proposal for Efficient Routing Protocol for Wireless Sensor Network in Coal Mine Goaf

The existing uneven clustering algorithm have disadvantages of coal mine with long strip structure. This paper proposed a UCEB-CMF protocol to improve the safety of coal mine monitoring system. The new protocol optimize the selection mechanism of the cluster head, avoid the lower residual energy nodes become the cluster head. Improve the calculation method of non-uniform competition radius and the competition way of the candidate cluster head, so the new protocol can ensure the node which close to the Sink node and has the more energy to priority become the cluster head. Propose a multipath routing algorithm according to the characteristics of the node in the coal mine goaf is die easily, it can ensure the persistence of the data transmission. Simulation results show that the routing protocol effectively balances the energy consumption among cluster heads and achieves an obvious improvement on the network life time.

Research on Water Monitoring System of Coal Mine Based on Ontology

With the exploitation of coal, the water pollution is increasingly severe. The quality of waste water treatment becomes the key point to the sustaining exploitation of coal resources .According to the need of coal mine water monitoring, the water monitoring system based on internet of things is designed. The system contains: data collection, data transmission, data storage and data inference. By ontology, the model foundation and deduction of the monitor data are both carrying on to realize the intelligent management on the coal mine water.

Research of Underground Wireless Sensor Networks Based on CC1110

In view of the harsh and variable underground environment, the current existing coal mine monitoring system is difficult to expand and has monitoring blind spot. Based on CC1110 chip and SimpliciTI network protocol, we present a design scheme of underground wireless sensor network which relies on automatic monitoring and alarm to the mine area environmental parameters. First, introduces the system composition structure, and the hardware design of independent communication subnet. Secondly, explains the system network protocol, network access mechanism used of periodic synchronous, and channel prediction. Finally, describes the software design of monitoring nodes. The test results show that the network nodes have many characteristics such as long-distance communication, movability, build up flexibly, high stability, and so on.