Claudiu Pirnau, The University of South East Europe Lumina, Romania

The investigation into the Ubiquitous Sensor Network (USN) environment within the realm of industrial safety represents a crucial area of focus spanning multiple research domains and practical applications. However, our attempts to effectively implement the USN framework in real-world industrial safety contexts have unveiled a series of formidable challenges. These hurdles include the complexities involved in managing a wide variety of sensor nodes, the necessity for efficiently processing large volumes of video data, and the glaring lack of context cognition technology, which is vital for analyzing and interpreting sensor data in real-time scenarios. In this paper, I propose an innovative and well-structured integrated sensor data management system specifically tailored for the processing of sensor stream data. This proposed system aims to significantly improve communication with "Intelligent Sensors" while harnessing "Context Awareness Services." These services play a critical role in safeguarding workers within industrial environments by effectively reducing risks associated with different operational activities. Additionally, I detail the creation of a middleware solution designed to facilitate seamless interactions among disparate sensor nodes, thereby supporting the effective deployment and utilization of the data collected. This holistic and integrated approach promises not only to enhance operational efficiency but also to bolster safety protocols for workers, ultimately fostering a healthier and more secure working environment in the industry.

APA:
Pirnau, C. (2024). An Intelligent Context-Aware Agent Developed to Enhance Industrial Safety by Effectively Monitoring and Analyzing Data within Sensor Networks. Journal of Science and Engineering Management, 5(1), 33-44. https://doi.org/10.33832/jsem.2024.5.1.04