Evolution dynamic of intelligent construction strategy of coal mine enterprises in China

Yang, Tianyue; Yang, Xue; Yang, Juan; Mao, Kaikai; Yao, Yujia; Liang, Haoshen

doi:10.1016/j.heliyon.2022.e10933

Cited by 15 publications

(8 citation statements)

References 50 publications

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“…Hao et al (2022) developed a data mining-based method for dust removal in coal mining, utilizing various sensors and mathematical measures to ensure dust removal and employee health and safety. The construction of coal mining enterprises was accomplished using the Moran process stochastic evolutionary game model, as detailed by Tian et al (2022), resulting in improved cost-effectiveness of coal mining operations. Zhang et al (2022) investigated factors influencing mining performance by developing a triangulation method and a fuzzy Bayesian network (FBN) model, providing valuable insights for human error analysis.…”

Section: Related Workmentioning

confidence: 99%

Enhancing Coal Mining Efficiency

Sun

2024

International Journal of Distributed Systems and Technologies

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Coal is a prominent energy resource for several countries. Of late, exploring the automatic management and control of coal mining has been a significant task. This article presents a framework for a mine-wide integrated automation management and control platform with the goal of advancing coal mining through unified data, models, platforms, and plans. Utilizing cutting-edge technologies, the platform offers resource management, real-time monitoring, remote control, statistical analysis, and intelligent alarm systems. Data access design ensures standardized data collection and exchange, fostering interoperability. A big data storage center manages heterogeneous data sources. The platform interface design emphasizes flexibility and scalability through containerized applications and microservices frameworks, streamlining deployment. The functional design encompasses subsystem configuration access, real-time monitoring, remote access, etc. A detailed evaluation is presented to demonstrate the significance of the proposed platform in terms of functionality, performance, and scalability.

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Section: Related Workmentioning

confidence: 99%

Enhancing Coal Mining Efficiency

Sun

2024

International Journal of Distributed Systems and Technologies

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“…Therefore, CCUS technology has broad application prospects in the eld of global energy and environment. Coal is the main energy source in China, and CO 2 emissions from coal are the largest source of carbon emissions in China, but it will take a long time for China to transform its energy structure [6][7] . Therefore, based on CCUS technology, it is of profound signi cance to reduce CO 2 emissions from coal in China, and can promote the realization of China's dual-carbon strategy.…”

Section: Introductionmentioning

confidence: 99%

Potential assessment of CCUS source and sink and its matching research of deep unworkable seam in Huainan coalfield of China

Fang,

Yu,

Zhang

et al. 2024

Preprint

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It is of great significance for the engineering popularization of CO2-ECBM technology to evaluate the potential of CCUS source and sink and study the matching of pipeline network of deep unworkable seam. In this study, the deep unworkable seam was taken as the research object. Firstly, the evaluation method of CO2 storage potential in deep unworkable seam was discussed. Secondly, the CO2 storage potential was analyzed. Then, the matching research of CO2 source and sink was carried out, and the pipe network design was optimized. Finally, this study puts forward suggestions on the design of pipeline network from the perspective of time and space scales. The results show that the average annual CO2 emissions of coal-fired power plants vary greatly, and the total emissions are 58.7608 million tons. The CO2 storage potential in deep unworkable seam is huge with a total amount of 762 million tons, which can store CO2 for 12.97 years. During the 10-year period, the deep unworkable seam can store 587.6 million tons of CO2, and the cumulative length of pipeline is 251.6129 km with requiring a cumulative capital of 4.26*1010 dollars. In the process of CCUS source-sink matching, the cumulative saving mileage of carbon sink is 98.7502 km, and the cumulative saving cost is 25.669 billion dollars with accounting for 39.25% and 60.26% of the total mileage and cost, respectively. Based on the three-step approach, the whole line of CO2 source and sink in Huainan coalfield can be completed by stages and regions, and all CO2 transportation and storage can be realized. CO2 pipelines include gas collection and distribution branch lines, intra-regional trunk lines, and interregional trunk lines. Based on the reasonable layout of CO2 pipelines, a variety of CCUS applications can be simultaneously carried out, intra-regional and inter-regional CO2 transport network demonstrations can be built, and integrated business models of CO2 transport and storage can be simultaneously built on land and sea. The research results can provide reference for the evaluation of CO2 sequestration potential of China's coal bases, lay a foundation for the deployment of CCUS clusters, and promote the realization of China's dual-carbon strategy.

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“…Ding [9], on the other hand, reconstructs the construction industry from the aspects of construction mode, business philosophy, product form, market form, and industry management. Tian [10] emphasizes the importance of intelligent construction. Taking the coal mining enterprises as an example, Tian illustrates that when the intelligent construction of coal mining enterprises is in the mature stage, with the improvement in the cost and benefits of intelligent construction, the "intelligent construction" strategy will become a general consensus of coal mining enterprises.…”

Section: Introductionmentioning

confidence: 99%

Development of an Evaluation System for Intelligent Construction Using System Dynamics Modeling

Guan,

Liu,

Shen

2024

Buildings

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Under the new wave of scientific and technological revolution, the construction industry finds itself with a critical need to alter the traditional and outdated production mode through technological innovation in order to realize industry transformation and move towards a new era characterized by digitalization, informatization, and intelligence. As intelligent construction is the indispensable pathway for the transformation and upgrading of the construction industry, it is of great significance to conduct in-depth research on its evaluation indicators and causality. This paper adopts the system dynamics method, based on the overall structure of intelligent construction, extracts the causality chain and causal feedback loop of intelligent construction, and presents a causality diagram and system dynamics diagram to build a robust system dynamics model for intelligent construction. On this basis, an evaluation index system for intelligent construction is constructed from the five dimensions—investment, design, construction, operation, and environment—for a holistic assessment of the current state of intelligent construction. The research aims to provide a valuable reference for professionals focusing on intelligent construction and the broader development of the industry.

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Evolution dynamic of intelligent construction strategy of coal mine enterprises in China

Cited by 15 publications

References 50 publications

Enhancing Coal Mining Efficiency

Enhancing Coal Mining Efficiency

Potential assessment of CCUS source and sink and its matching research of deep unworkable seam in Huainan coalfield of China

Development of an Evaluation System for Intelligent Construction Using System Dynamics Modeling

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