Development of a Collaborative 3D Virtual Monitoring System through Integration of Cloud Computing and Multiagent Technology

Zhang, Lin; Wang, Zhongbin; Liu, Xinhua

doi:10.1155/2014/762091

Cited by 9 publications

(5 citation statements)

References 37 publications

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“…This system's architecture consists of communication language for agent communication, algorithm for cooperative working and conflict resolution. Prototype system is applied for the monitoring of fully mechanized coal-mining equipment [29].…”

Section: Cloud-enabled Robotsmentioning

confidence: 99%

Cloud Robotics Platforms

Koken¹

2015

: Interdiscip. Descr. Complex Syst.

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Cloud robotics is a rapidly evolving field that allows robots to offload computation-intensive and storage-intensive jobs into the cloud. Robots are limited in terms of computational capacity, memory and storage. Cloud provides unlimited computation power, memory, storage and especially collaboration opportunity. Cloud-enabled robots are divided into two categories as standalone and networked robots. This article surveys cloud robotic platforms, standalone and networked robotic works such as grasping, simultaneous localization and mapping (SLAM) and monitoring.

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Section: Cloud-enabled Robotsmentioning

confidence: 99%

Cloud Robotics Platforms

Koken¹

2015

: Interdiscip. Descr. Complex Syst.

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“…This allowed for remote control operation and run, thus improving the level of automation. Zhang et al (2014Zhang et al ( , 2017 established an overall structure of the system that the hydraulic support can be controlled to follow the shearer automatically, carried out the control system design, and realized the self-regulation of the hydraulic support. According to control system control requirements, Guo and Li (2014) achieved a single-frame, single-action, singlerack sequential linkage, group exercise, shearer position detection and overall program design, while the stent control system software and hardware design.…”

Section: Introductionmentioning

confidence: 99%

An operation optimization method of a fully mechanized coal mining face based on semi-physical virtual simulation

Shi

Xie

Wang

et al. 2019

Int J Coal Sci Technol

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A mathematical hydraulic support self-tracking model for three-machine cooperative mining is proposed to address low efficiency and difficulties in strategy evaluation of a fully mechanized coal face. The proposed model uses the coordinates and traction speed of the shearer to calculate the frequency of the circular hydraulic support and realize the coordinated operation of the three-machine mining technology. A unity3d hardware-in-the-loop simulation experimental hearer and hydraulic support platform was used to validate the model of autonomous follow-up. The results indicate that collaborative control of coal mining allowed for an efficiency 3.76% higher than under automatic operation mode and 46.03% higher than under manual control; thus, The mathematical model provided an improved production efficiency of the fully mechanized mining face. The mathematical model also provides a more intelligent and reliable security support, and improves the intelligent level of hydraulic support follow-up control.

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“…Therefore, collaboration among the fragmented domains is necessary to cope with both the internal and external fluctuating factors [5], e.g., energy cost-down plan, voice of customers, intense global competition, and shorter time-to-market strategy. Concerning the complexity of object management and collaboration, VME has to be developed in a modular and distributed way, and the distributed module requires a low coupling and high cohesion performance with strong independency principle [6]. A multi-agent system (MAS) is a loosely coupled agent network that solves problems exceeding single The field of VME has gradually broadened with the help of computing power.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

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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.

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Development of a Collaborative 3D Virtual Monitoring System through Integration of Cloud Computing and Multiagent Technology

Cited by 9 publications

References 37 publications

Cloud Robotics Platforms

Cloud Robotics Platforms

An operation optimization method of a fully mechanized coal mining face based on semi-physical virtual simulation

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

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