scholarly journals Energy-Saving and Management of Telecom Operators’ Remote Computer Rooms Using IoT Technology

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 166197-166211
Author(s):  
Liang Zhao ◽  
Shaocheng Qu ◽  
Jiahui Zeng ◽  
Qiaoying Zhao
2013 ◽  
Vol 846-847 ◽  
pp. 517-520
Author(s):  
Chong Qian ◽  
Rong Rong Wang ◽  
Wei Wang

During the process of drying fabrics by drying cylinder dryer, the over-drying of fabrics leads to a waste of energy. A temperature-online-measuring and energy-saving system for drying cylinder dryer based on network communication was designed in the study. The temperature-measuring and steam-controlling part of the system set in the cylinder dryer communicates with the remote monitoring part using the W5100 network chip through Ethernet which helps to achieve a high-speed and long-distance communication between the two parts. The remote monitoring part of the system is based on Delphi. The real-time temperature of fabrics in each drying cylinder can be displayed on the screen of the remote computer, and the steam supply of drying cylinders can be manually or automatically adjusted according to the mutations of temperature of fabrics by system administrators or the remote computer. The application of this system helps to avoid the The evaporation of water due to over-drying by 5.3%-6.6% and result in a reduction of the waste of energy by about 10%.


2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink

Summary: Different shapes of individual subjective discount functions were compared using real measures of willingness to accept future monetary outcomes in an experiment. The two-parameter hyperbolic discount function described the data better than three alternative one-parameter discount functions. However, the hyperbolic discount functions did not explain the common difference effect better than the classical discount function. Discount functions were also estimated from survey data of Dutch households who reported their willingness to postpone positive and negative amounts. Future positive amounts were discounted more than future negative amounts and smaller amounts were discounted more than larger amounts. Furthermore, younger people discounted more than older people. Finally, discount functions were used in explaining consumers' willingness to pay for an energy-saving durable good. In this case, the two-parameter discount model could not be estimated and the one-parameter models did not differ significantly in explaining the data.


2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.


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