System-Level Energy-Efficiency for Real-Time Tasks

2007 ◽  
Author(s):  
Chuan-Yue Yang ◽  
Jian-Jia Chen ◽  
Chia-Mei Hung ◽  
Tei-Wei Kuo
Keyword(s):  
Energy Efficiency ◽  
Real Time ◽  
System Level ◽  
Level Energy

Assessing System-Level Energy Efficiency of mmWave-Based Wearable Networks

2016 ◽  
Vol 34 (4) ◽  
pp. 923-937 ◽  
Author(s):  
Olga Galinina ◽  
Alexander Pyattaev ◽  
Kerstin Johnsson ◽  
Andrey Turlikov ◽  
Sergey Andreev ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
System Level ◽  
Level Energy

scholarly journals Energy Saving Operation of Manufacturing System Based on Dynamic Adaptive Fuzzy Reasoning Petri Net

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2216 ◽  
Author(s):  
Junfeng Wang ◽  
Zicheng Fei ◽  
Qing Chang ◽  
Shiqi Li
Keyword(s):  
Energy Saving ◽  
Real Time ◽  
Petri Net ◽  
Manufacturing System ◽  
Fuzzy Reasoning ◽  
System Level ◽  
Level Energy ◽  
Efficient Operation ◽  
Adaptive Fuzzy ◽  
Internet Of Things Technology

The energy efficient operation of a manufacturing system is important for sustainable development of industry. Apart from the device and process level, energy saving methods at the system level has attracted increasing attention with the rapid growth of the industrial Internet of things technology, which makes it possible to sense and collect real-time data from the production line and provide more opportunities for online control for energy saving purposes. In this paper, a dynamic adaptive fuzzy reasoning Petri net is proposed to decide the machine energy saving state considering the production information of a discrete stochastic manufacturing system. Fuzzy knowledge for energy saving operations of a machine is represented in weighted fuzzy production rules with certain values. The rules describe uncertain, imprecise, and ambiguous knowledge of machine state decisions. This makes an energy saving sleep decision in advance when a machine has the inclination of starvation or blockage, which is based on the real-time production rates and level of connected buffers. A dynamic adaptive fuzzy reasoning Petri net is formally defined to implement the reasoning process of the machine state decision. A manufacturing system case is used to demonstrate the application of our method and the results indicate its effectiveness for energy saving operation purposes.

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