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Thermal Science - Online First

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Design and application of heating metering and monitoring system based on cloud platform

With the scale of equipment needed to be managed in heat metering monitoring system becoming larger, how to realize simple management and ensure scalability is a problem that needs to be studied. Based on the comprehensive application of information and communication technology, this paper studies and expounds the intelligent management of heat metering based on cloud platform, and analyses and plans the intelligent management platform of heat metering. It is convenient for heating companies to monitor the status of the site, find problems in time and deal with them. It realizes user addition and management and facilitates business expansion. By promoting rational consumption of heat energy, the intelligent management platform of heat metering can realize energy saving, environmental protection, fair trade and make the best use of everything.
PAPER REVISED: 2019-03-05
PAPER ACCEPTED: 2019-03-10
  1. Welink J., et al., Design Optimization and Verification of Ground Source Heat Pump System in Residential Buildings,Building Energy Efficiency, 2012, 17(17):336-9.
  2. Chen H. B.,Wei P., Discussion on Household Heat Metering and Central Control of Heating System,Advanced Materials Research, 2012, 512-515:2863-2866.
  3. Moczar G., et al., Distributed measurement system for heat metering and control,IEEE Transactions on Instrumentation and Measurement, 2002, 51(4):691-694.
  4. Westwater E. R., et al., Analysis of integrated cloud liquid and precipitable water vapor retrievals from microwave radiometers during the Surface Heat Budget of the Arctic Ocean project,Journal of Geophysical Research Atmospheres, 2001, 106(D23).
  5. Mills D.,Morrison G. L.,Optimisation of minimum backup solar water heating system, Solar Energy, 2003, 74(6):505-511.
  6. Jiang P., et al., Research on the Solar Water Heating System Based on the Internet of Things,Advanced Materials Research, 2013, 860-863(860-863):4.
  7. Guo X., et al., Study of medical device innovation design strategy based on demand analysis and process case base,Multimedia Tools and Applications, 2016, 75(22):14351-14365.
  8. Li F., et al., An Automatic Control Method for Central Heating of Public Buildings,Applied Mechanics and Materials, 2012, 241-244:3249-3254.
  9. Yu W, Li S, Recommender systems based on multiple social networks correlation, Future Generation Computer Systems, 2018, 87: 312-327.
  10. Yu W, Li S, Tang X, et al., An efficient top-k ranking method for service selection based on ε-ADMOPSO algorithm, Neural Computing and Applications, 2018: 1-16.
  11. Lin K., et al., Experimental study of under-floor electric heating system with shape-stabilized PCM plates,Energy and Buildings, 2005, 37(3):215-220.