An IoT and spatial Big data based architecture for monitoring Occupational Health Risks exposure

With the advent of industry 4.0, occupational risk management has shifted to safety 4.0. As a result, the substance of Occupational Health and Safety (OHS) problems and solutions have changed. Various data collection methods have also become possible through advanced technologies like IoT and wearable devices. Managing the big data produced by these multiple sources is now necessary. Many works introduced Big data-based solutions to deal with increasing data volume. However, spatial data were not explicitly considered in such solutions. The main objective of this paper is to highlight the need to integrate the spatial dimension into individual and continuous occupational risk exposure monitoring. To this end, we present a typical architecture of an integrated system taking advantage of the technological levers introduced by the Industry 4.0 phenomenon (IoT and spatial Big Data technologies). The proposed architecture collects, stores, analyzes, and finally visualizes data to improve OHS risk exposure monitoring and better understanding and interpretation of OHS-related problems.