Risk pre-control mechanism of mines based on evidence-based safety management and safety big data.
Evidence-based
Process safety management
Risk analysis of mines
Safety big data
Safety management
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
Nov 2023
Nov 2023
Historique:
received:
14
01
2023
accepted:
27
09
2023
medline:
8
11
2023
pubmed:
7
10
2023
entrez:
7
10
2023
Statut:
ppublish
Résumé
The overexploitation of mineral resources and the heavy use of mineral resources have caused serious environmental damage. The growing problem of mine safety also directly threatens the personal safety of the surrounding population and hinders the development of the local economy. Evidence-based safety eliminates the reliance on intuition and unsystematic aspects of traditional safety management systems by taking into account the actual production situations on site, making safety decision-making activities more scientific. However, there is frequently a lag in the transformation and feedback of evidence information, which obstructs the realization of effective safety decision-making activities. From the perspective of process safety management risk analysis and the transformation of safety big data and safety evidence, this paper proposes a new mine risk pre-control mechanism. First and foremost, based on process safety management, evidence-based safety is successfully applied to mine risk control. Secondly, from the perspective of information transformation, a mine risk pre-control mechanism based on evidence-based safety management and safety big data is established. Finally, taking mine open area monitoring as an example, the application analysis of the mine risk pre-control mode constructed above is carried out. The risk pre-control mechanism proposed in this paper provides a new idea for the practice of mine risk management.
Identifiants
pubmed: 37804381
doi: 10.1007/s11356-023-30204-5
pii: 10.1007/s11356-023-30204-5
doi:
Substances chimiques
Minerals
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
111165-111181Subventions
Organisme : National Natural Science Foundation of China
ID : 52174140
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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