Introduction Industry 4.0 has enhanced technological development in all fields. Currently, one can analyse, treat, and model completely different variables in real time; these include production, environmental, and occupational variables. Resultingly, there has been a significant improvement in the quality of life of workers, the environment, and in businesses in general, encouraging the implementation of continuous improvement measures. However, it is not entirely clear how the mining industry is evolving alongside this industrial evolution. With this in mind, this systematic review aimed to find sensing technology applications within this sector, in order to assist the mining industry in its goal to evolve digitally. Methodology: The research and reporting of this article were carried out by means of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results and discussion: A total of 29 papers were included in the study, with sensors being applied in several fields, namely safety, management, and localisation. Three different implementation phases were identified regarding its execution: prototype, trial, and (already) implemented. The overall results highlighted that many mechanisms are in need of improvement in underground settings. This might be due to the fact that underground mining has particular safety challenges. Conclusions: Ventilation and mapping are primary issues to be solved in the underground setting. With regard to the surface setting, the focus is directed toward slope stability and ways of improving it regarding monitoring and prevention. The literature screening revealed a tendency in these systems to keep advancing in technologically, becoming increasingly more intelligent. In the near future, it is expected that a more technologically advanced mining industry will arise, and this will be created and sustained by the optimisation of processes, equipment, and work practices, in order to improve both the quality of life of people and the health of the environment.

Anthropogenic activity is related to several environmental imbalances, including dust. Particulate matter can also hinder humans with numerous health consequences, such as asthma, cancer, and pneumoconiosis. With a particular focus on mineral dust, this review is intended to determine in which circumstances occupational exposure occurs in the mining and earthmoving industries. Research followed the guidelines provided by the preferred reporting items for systematic review and meta-analysis protocols and its extension for scoping reviews. Of the 8993 records identified, only 24 passed both exclusion and inclusion criteria. Within the pool of results, it was possible to identify the following variables related to dust exposure: job-related (activity, job category, and site), engineering (equipment, transport system), technical (distance), and physical (season and weather) variables. Due to the significant variance in protocol settings, it was challenging to perform a general analysis, resulting in a study-by-study approach. The most significant conclusion of this study is not related to the setting of occupational exposure, although it derives from it. The necessity of adopting standard procedures for data collection, independent of research objective, was demonstrated within the context of occupational exposure to mineral dust.

Whole body vibration (WBV) is an emerging issue for the mining industry, occuring from the exposure due to many mining operations. This systematic review protocol intends to give answer to the question "what mining equipment contributes the most to occupational whole body vibration and under what conditions?". For that, the main engineering and health databases were selected (i.e Scopus, Science Direct and PubMed) and a set of keywords was defined to latter combination. The selection process of the papers was also described in an attempt to contribute to the general research on this field. All of the data treatment is detailed, including the risk of bias and attempts to deal with it. The protocol for the systematic review is registered in PROSPERO under the code CRD42018087629.

Occupational noise-induced hearing loss (ONIHL) is one of the most recognised occupational diseases globally. Mining and earthworks are among those with the greatest impact in this matter. A systematic review addressing the noise exposure characterisation, in order to develop a preventive design, is being proposed in this protocol. The Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) guidelines were used to draw the research outline, where the study and report characteristics are provided. All of the selected keywords and databases/journals were priorly identified and are now presented. The search methodology is clarified, and an example for Scopus is provided. A methodology to deal with bias within studies is proposed, and all the systematic review narrative processes of the systematic review are discussed in the protocol, including information that will be extracted from the selected records. The Preferred Reporting Items for Systematic Review and Meta-analysis guidelines will be used to help develop the review.