Name
Title | ||
|---|---|---|
Dynamic monitoring for improving worker safety at the workplace: use case from a manufacturing shop floor |
Abstract | ||
|---|---|---|
Manufacturing is one of ever more important domains for applying IoT and real-time processing. Despite a big trend in optimizing production processes based on the real-time shop floor data (e.g. improving the quality control or the resource consumption), there is a huge need in making the workspaces more ergonomic, user friendly and safe. This is especially relevant for modern manufacturing facilities which are equipped with modern cameras and other personal or environmental monitoring systems. However, the task of personal monitoring in manufacturing is a rather a challenging task from the real-time processing point of view, starting from the quality of data that can be acquired from the monitoring system, till the complexity of the situations that should be considered from the safety point of view (their detection and the reaction on them). In this paper we present a novel approach for improving worker safety at the workplace in the manufacturing shop floor. The approach is based on a dynamic and scalable real-time processing pipeline derived from Storm architecture that satisfies complex requirements for realizing this challenging task. The system has been designed and implemented for a manufacturing line in TRW, one of the largest suppliers for the automotive industry. It uses the Kinect-based monitoring system installed in the shop floor and it is part of the risk intervention and communication process, led by safety and prevention managers. In this paper we present the requirements analysis, the conceptual architecture and the implementation and initial testing. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2675743.2771881 | DEBS |
Field | DocType | Citations |
Computer science,Computer-integrated manufacturing,Requirements analysis,Manufacturing engineering,Conceptual architecture,User Friendly,Big data,Database,Environmental monitoring,Distributed computing,Automotive industry,Scalability | Conference | 1 |
PageRank | References | Authors |
0.35 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aleksandar Stojadinovic | 1 | 1 | 1.03 |
| Nenad Stojanovic | 2 | 1605 | 152.52 |
| Ljiljana Stojanovic | 3 | 1113 | 119.17 |