Individual Environmental Risk Assessment and Management in Industry 4.0: An IoT-Based Model

Abstract

This paper addresses the design of a system to facilitate individual environmental risk assessment and long-term risk management in the Industry 4.0 work context. The solution is based on IoT to provide data related to workers’ exposure to hazardous agents (dust, noise, ultraviolet radiation, poor lighting, and inappropriate temperature and humidity) through a simple interface for employees and employers. The system includes a monitoring device and a server and performs employee registration, receives secure messages from the monitoring devices, shows information about the workers’ exposure, and triggers alarms when the measures reach or exceed the limits established by applicable legislation and/or standards. The system was tested in a controlled environment, and the results are presented in this work. Our solution is still under development, and in future stages, it will include a smartphone app for employees to check their exposures and the use of artificial intelligence on the server, which is expected to enable long-term planning by companies based on the analysis of employees’ health history and their exposures to hazardous agents.

A System for Individual Environmental Risk Assessment and Management with IoT Based on the Worker’s Health History

“…As mentioned earlier in this study, concerning tests, in [23], it is described how this technological solution was tested to check the functioning of the web application concerning employee registration, the full information path, which includes data acquisition from temperature/humidity and light sensors by ESP32, the sending of encrypted data over the Internet through the MQTT protocol, the processing of the data on the server, storage in InfluxDB, and display graphs in Grafana. The tests regarding the suitability of the hardware resources available on the server (memory, disk, and CPU) are described.…”

“…The architecture of the monitoring device and the web interface for recording employees of an early-stage version of the proposed system is described in Lemos et al [23]. At that stage, the monitoring device only had humidity, temperature, and illuminance sensors.…”

Synthesis and Prototyping of a Sit-to-Stand Assisting Device

“…These devices incorporate biosensor systems that continually monitor physiological parameters such as heart rate, rhythm and skin temperature [39]. The exponential emergence of these technologies serves as invaluable tools for enhancing user performance, improving working conditions, monitoring and assessing risks, and for designing novel workspaces in industrial environments [40,41].…”

Security Framework for Network-Based Manufacturing Systems with Personalized Customization: An Industry 4.0 Approach

“…This evolution within the manufacturing sector results in a more adaptable yet finely tuned production setting, presenting a flexible and optimized manufacturing environment. IoT is changing the lives of humans and making them more comfortable [7][8][9]. IoT communications take place with a set of predefined models and protocols, such as ad hoc on-demand distance vector (AODV) routing, destination-sequenced distance vector vector (DSDV) routing, optimized link state routing (OLSR), dynamic source routing (DSR), routing protocol for low power and lossy networks (RPL), constrained application protocol (CoAP), and 6LoWPAN (Ipv6 over low-power wireless personal area networks).…”