A Novel Multi-Agent-Based Collaborative Virtual Manufacturing Environment Integrated with Edge Computing Technique

Abstract

This paper proposes a multi-agent-based collaborative virtual manufacturing environment (VME) to save energy consumption and improve efficiency in the manufacturing process. In order to achieve the high autonomy of the manufacturing system, a multi-agent system (MAS) is designed to build a collaborative VME. In this new VME environment, edge computing is embedded to strengthen the cyber resource utilization and system economy. Moreover, an efficient communication channel between networks is proposed. The subsequent cooperation and collaboration protocols among agents are designed to ensure flexible and process-oriented operations. Furthermore, the fuzzy resolution algorithm is employed to resolve the competition conflicts among function-similar MASs in the distributed manufacturing scenario. Lastly, a simulation and case study are performed to evaluate the performance of the proposed VME in Internet of Things (IoT)-based manufacturing. The analysis results have demonstrated the feasibility and effectiveness of the proposed VME system.

Construction of Marine Professional Virtual Simulation Experiment Platform Based on Internet-of-Things Technology

“…Its core idea is to capture the in uence of complex battle eld environment on sensors, weapons, and platforms from the original form of information-signal waveform. Put all elements under the uni ed space-time and battle eld environment background conditions, construct a full platform, full system, full elements, highly realistic virtual combat environment, and systematic signal-level simulation experiment ability, completely reproduce the whole process of underwater information transmission, detection, and confrontation, and provide a scienti c basis for the research-based teaching of virtual simulation of marine environmental e ects [18]. e overall structure of the laboratory is shown in Figure 2.…”

IoT uygulamalarında çok etmenli sistemlerin (MAS) birlikte çalışabilirliğinin rolü: Akıllı üretim sistemlerindeki son gelişmeler üzerine bir araştırma

“…Bu Yük dengeleme, Hizmet Kalitesi (QoS), Verimlilik, Maliyet [134,135] Bulun bilişimin ortamlarının ikinci başarı performans kriteri olarak "cevap süresi: bir görevi yerine getirmek için harcanan süre" (respons time) incelendiğinde, zeki etmen tabanlı sistemler, yük durumunu proaktif olarak hesaplama yeteneği ile cevap süresini kısaltır.…”

A Survey of Architecture, Framework and Algorithms for Resource Management in Edge Computing

“…Collaborative operation, low latency communication channel, reduction of service delay, and data congestion is avoided Distribution of task, computing resources allocation, and low bandwidth allocation [25] An affordable, fast early warning system (AFEWS) is proposed with utilizing edge devices. The edge computing device is been installed near the data source to identify and analyse the normal and abnormal functioning using hybrid fault model to predict the working process.…”