Thermal analysis and optimization of stand-alone microgrids with metal hydride based hydrogen storage

Kumar, Sachin; Sharma, Rakesh; Murthy, S. Srinivasa; Dutta, Pradip; He, Wei; Wang, Jihong

doi:10.1016/j.seta.2022.102043

Cited by 5 publications

(1 citation statement)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Back in the late 1900s, some researchers used a five-year innovative mining program as an example. At that time, the mining industry was characterized by poor working conditions, high environmental impacts, low levels of automation, and complex manual operations, which showed the vast potential for automation and intelligent development in the mining industry (Kumar et al, 2022). Improving mining automation and intelligence is also an essential goal for today's leading mining companies.…”

Section: Introductionmentioning

confidence: 99%

Data standards based Mine Side Data Integration Governance Platform Research and Applications

Qi,

Wang,

Feng

et al. 2024

ICST Transactions on Scalable Information Systems

View full text Add to dashboard Cite

INTRODUCTION: With the advent of the mining digitalization era, the rapid growth and diversity of mine-side data make mining production management more complex. In this context, it becomes crucial to build a set of mine-side data integration and governance platforms based on data standards. The establishment of this platform aims to solve the problems of mining data fragmentation and inconsistent standards and to improve the efficiency of data management and utilization.OBJECTIVES: The purpose of this study is to construct an efficient mine-side data integration and governance platform by studying and applying data standards to address the challenges of data heterogeneity and fragmentation. Through the development of unified data standards, the Author can realize the standardized management of mining data, improve data quality, and provide more reliable support for mining production.METHODS: The study adopts a comprehensive approach. First, a comprehensive understanding of the problems and needs facing mining data management was obtained through a literature review and field research. Second, data standards applicable to mine-side data are developed to ensure that all types of data can be consistently understood and processed. Next, a data integration and governance platform based on these standards is established, and advanced data mining and artificial intelligence technologies are applied to realize automatic integration and cleaning of multi-source data.RESULTS: Through experiments, this study proved that a mine-side data integration governance platform based on data standards was successfully constructed. The platform realizes efficient integration and cleaning of data and improves the consistency and quality of data. In practical application, the platform provides more accurate data support for mining production management and achieves remarkable results.CONCLUSION: This study provides strong theoretical and practical support for the research and application of mine-side data integration and governance platforms based on data standards. Through the development of data standards, an efficient data management platform has been established, which provides practical solutions for solving mining data management challenges. In the future, the performance of the platform can be further optimized, and the updating and maintenance of data standards can be strengthened to adapt to the constant changes in the digital development of the mining industry. This research has a positive impact on promoting the construction of mining industry informatization and improving the level of production management.

show abstract

Section: Introductionmentioning

confidence: 99%