PSO-NMPC control strategy based path tracking control of mining LHD (scraper) DOI Creative Commons
Ya Liu, Ping’an Peng, Liguan Wang

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 18, 2024

The automation of underground articulated vehicles is a critical step in advancing digital and smart mining. Current nonlinear model predictive control (NMPC) controllers face challenges such as delays turning on large curvature paths correction lags during the Load-Haul-Dump (LHD). To address these issues, this paper proposes PSO-NMPC strategy that integrates particle swarm optimization algorithm (PSO) into NMPC controller to enhance path tracking for LHDs. verify effectiveness proposed strategy, local tunnels selected simulation path, comparing it with pure based characteristics actual tunnel. results demonstrate improved significantly enhances trajectory performance LHD, maximum absolute lateral deviations experimental 2, 3, 5 by 89.7%, 72.2%, 68.9%, respectively. Additionally, exhibits superior compared those very small straight-line paths, effectively addressing turn delay backward lag LHD operation, thus providing practical significance.

Language: Английский

Optimisation of synergistic ventilation between dust and gas in a gas tunnel DOI Creative Commons
Xiaoqiang Zhang, Zixian Wang, Wen‐Bin Chen

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 11, 2024

In view of the difficult problem gas and dust exceeding limit during digging process a tunnel in Guizhou Province, Southwest China, CFD numerical simulation method was applied to study airflow, transport law process. A physical experimental platform established verify results, research carried out terms gas-containing gas-carrying disaster prevention control, ventilation optimization for this tunnel. The results showed that maximum concentration face under press-in could be about 1%, local can up 900 mg/m

Language: Английский

Citations

11
Optimization of airflow distribution in mine ventilation networks considering ventilation energy consumption and number of regulators DOI
Lixue Wen, Jinmiao Wang, Liguan Wang

et al.

Engineering Optimization, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 22

Published: Jan. 15, 2025

In view of the problem high energy consumption and control costs caused by uneven airflow distribution unreasonable in complex mine ventilation networks, this study takes minimum number regulators as optimization objectives to establish a multi-objective model for networks. Based on roadway adjustable attributes spanning tree principle, location was reasonably determined. Moreover, article proposes an improved invasive weed (IIWO) algorithm solve with coupling nonlinearity. Compared other algorithms, IIWO showed excellent performance. applied optimize network. The results show that can effectively reduce network, saving rate fan is 31.78%.

Language: Английский

Citations

1
Application of artificial intelligence in mine ventilation: a brief review DOI Creative Commons
M. A. Semin, D. S. Kormshchikov

Frontiers in Artificial Intelligence, Journal Year: 2024, Volume and Issue: 7

Published: May 2, 2024

In recent years, there has been a notable integration of artificial intelligence (AI) technologies into mine ventilation systems. A network presents complex system with numerous interconnected processes, some which pose challenges for deterministic simulation methods. The utilization machine learning techniques and evolutionary algorithms offers promising avenue to address these complexities, resulting in enhanced monitoring control air parameter distribution within the network. These methods facilitate timely identification resistance faults enable prompt calculation parameters during emergency scenarios, such as underground explosions fires. Furthermore, play crucial role advancement visual analysis However, it is essential acknowledge that current AI limited does not encompass full spectrum challenging-to-formalize problems. Promising areas application include analyzing changes caused by unaccounted thermal draft gas pressure, well developing novel approaches calculating shock losses. Moreover, optimizing large-scale networks remains an unresolved issue. Addressing holds significant potential enhancing safety efficiency

Language: Английский

Citations

8
Knowledge mapping of mine ventilation technology research: A visual analysis using CiteSpace DOI
Kai Wang, Yiqiao Wang, Xiang Zhang

et al.

Physics of Fluids, Journal Year: 2024, Volume and Issue: 36(8)

Published: Aug. 1, 2024

In the era of technological innovation, mine intelligent ventilation is an inevitable trend development. Mine technology important guarantee for stable and reliable operation system. Therefore, current situation future development in past 30 years are sorted out. The 1586 literature included Web Science database from 2000 to 2024 were used research. Employing CiteSpace6.3.R1 visualization tools, this paper identified influential authors, countries, institutions field. Through keyword frequency analysis, clustering, timeline examination, burst detection, it was determined that further research should focus on aspects such as flow dynamics, simulation techniques, numerical modeling, behavior. This strategic approach aims enhance both theoretical framework practical implementation ventilation, thereby augmenting its significance coal mining operations.

Language: Английский

Citations

4
Comparative study on blasting simulation vibration reduction and field vibration reduction experiment of adjacent oil pipeline DOI Creative Commons

Y. Chen,

Ruichong Zhang,

Lifang Liang

et al.

Frontiers in Earth Science, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 9, 2025

Introduction Yongxing Tunnel No.1’s complex geology near a buried oil pipeline on the Guizhou-Nanning high-speed route poses blasting risks. Prioritizing safety, efforts focus minimizing vibration impacts. Methods Research uses numerical simulations and field tests to analyze three delay times spacing charge materials for reduction. Results Optimal is 30 ms, yielding 0.52 cm/s velocity, 20%-29% lower than 28 ms 32 ms. Soil most effective spacer, achieving 0.46 cm/s, 30.30%-22.03% water air. Field align with simulations. Discussion Findings provide reference optimal reduction safe construction under similar conditions.

Language: Английский

Citations

0
Fine Identification of Landslide Acceleration Phase Using Time Logarithm Prediction Method Based on Arc Synthetic Aperture Radar Monitoring Data DOI Creative Commons
Chong Li, Liguan Wang, Jiaheng Wang

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 2147 - 2147

Published: Feb. 18, 2025

In the field of slope landslide prevention and monitoring in open-pit mines, addressing lag issues associated with traditional GNSS inverse-velocity method, this study introduces a novel strategy that integrates high-spatiotemporal-resolution data from ArcSAR time log model for prediction. The key findings include following: (1) This utilizes normal distribution characteristics deformation velocities to set confidence intervals, accurately identifying starting point accelerated deformation. (2) Coupled coordinate transformation, logarithm prediction method was constructed, unifying units measurement resolving convergence fitting. (3) Empirical research conducted at Kambove mine Democratic Republic Congo demonstrates successfully predicts times four hours advance, an error margin only 0.18 h. innovation offers robust technical support control enhancing safety standards mitigating disaster losses.

Language: Английский

Citations

0
Optimization of ore production scheduling strategy using NSGA-II-GRA in open-pit mining DOI Creative Commons
Zhongqiang Chen, P.‐S. SONG,

Ruoyan Liu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 26, 2025

To address the challenges posed by ore grade fluctuations, extraction cost variations, and market price instability in open-pit production strategies, an optimization model integrating a solution algorithm dynamic simulation is proposed. First, Monte Carlo used to generate random variables, simulating fluctuations at different points. Then, Non-dominated Sorting Genetic Algorithm II with Grey Relational Analysis (NSGA-II-GRA) employed for initial obtain preliminary Pareto-optimal set. Furthermore, fluctuation constraint equation introduced during process conduct second iterative of set, generating optimized plans under intervals. Finally, subjective objective weights, weighted grey relational analysis method applied select optimal Ore Production Scheduling Strategy. The results indicate that, while achieving objectives, calcium oxide target achievement rate increased 7% 7.17%, respectively, output 16.7% 20.5%

Language: Английский

Citations

0
The macro and micro mechanical responses of the surrounding rock influenced by roadway contour excavation DOI
Hao Shi, Xingliang Xu, Suchuan Tian

et al.

Bulletin of Engineering Geology and the Environment, Journal Year: 2025, Volume and Issue: 84(5)

Published: April 4, 2025

Language: Английский

Citations

0
Landslide Susceptibility Assessment by Using Publicly‐Available Remote Sensing and Geospatial Data to Assist Risk Management and Geological Safety: A Case Study of the Wugongshan Area, South China DOI
Zeyu Yang,

Ruonan Jia,

Kai Liu

et al.

Transactions in GIS, Journal Year: 2025, Volume and Issue: 29(2)

Published: April 1, 2025

ABSTRACT The Wugongshan area has undergone complex geological evolution since Neoproterozoic, creating a wealth of natural relics that support tourism development, but also triggering frequent landslides threaten local sustainability. However, the primary factors remain unclear. Based on 692 historical in this area, eight potentially related to were selected for susceptibility assessment, including elevation, slope, aspect, lithology, distance fault, water system, transportation and Normalized Difference Vegetation Index. They are then applied with information quantity model value‐logistic regression coupled model, respectively, assess generate risk zoning maps ArcGIS platform. accuracy values two models 0.787 0.786, suggesting reliable assessment result. validation results suggest is better at dealing larger datasets environments. Elevation, system mainly responsible Wugongshan. framework developed by using public data relevant improving quality geohazard prevention safety other similar areas worldwide.

Language: Английский

Citations

0
Current Status and Outlook of Roadbed Slope Stability Research: Study Based on Knowledge Mapping Bibliometric Network Analysis DOI Open Access
Jiawei Chen, Chengyu Xie, Wentao Zhang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 4176 - 4176

Published: May 6, 2025

Landslide hazards on roadbed slopes pose significant safety risks, leading to casualties, property losses, and environmental damage. With the rapid expansion of global railway highway construction, slope stability has become a critical research focus. However, systematic reviews prospective studies based bibliometric analysis in this field remain limited; such lack is likely lead lag theoretical development field. To address gap, study analyzes 453 papers from 2014 2023 using Web Science (WOS) core collection tools like VOSviewer, CiteSpace, Bibliometrix R. This focuses following: (i) Visualizing trends through knowledge graphs, covering document quantity, authors, countries, keywords. (ii) The objectives, methods, specific objects, conditions literature are categorized discussed, limitations numerical simulation other shortcomings pointed out. (iii) Future directions, focusing actual working utilizing advanced flexible subroutine functions simulate complex with multi-physical coupling, discussed ensure accuracy sustainability road construction development. paper can help scholars comprehensively quickly understand status hotspots research, view providing support for future exploration.

Language: Английский

Citations

0