Acta Mechanica Slovaca 2021, 25(1):42-50 | DOI: 10.21496/ams.2021.007

Implementing Cloud Solutions to Optimize the Operation of District Heating Networks with Preparation for MindSphere®

P. Sláma1, *, J. Nožička2
1 Department of Fluid Mechanics and Thermodynamics, Czech Technical University in Prague, Czech Republic
2 Head of Department of Fluid Mechanics and Thermodynamics, Czech Technical University in Prague, Czech Republic

The paper describes the data mining within district heating environment (physical data - temperatures and flow rates) as a basis of control and optimization of a particular district heating region. The cycle is defined: the gained data transmission to a cloud solution, subsequent data formatting and their processing by applications designed within the MindSphere® environment. The particular segments of the introduced solution are: design, activation and debugging of the senders of all wireless sensors.

Keywords: control systems, district heating, MindSphere, mathematical prediction, pipeline network, heat exchanger stations

Received: January 12, 2021; Revised: March 19, 2021; Accepted: March 19, 2021; Published: March 26, 2021  Show citation

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Sláma, P., & Nožička, J. (2021). Implementing Cloud Solutions to Optimize the Operation of District Heating Networks with Preparation for MindSphere®. Acta Mechanica Slovaca, 25(1), 42-50. doi: 10.21496/ams.2021.007
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    References

    1. HLAVA, J.; SLÁMA, P; MUŽÍK, V; Research Report No.: TE01020036-V136; Technology Agency of the Czech Republic, December 2019
    2. Official documentation of the IIoT platform MindSphere® from Siemens, Available from: .
    3. HUNKE, N.; YUSUF, Z.; RüßMANN, N.; SCHMIEG, F.; BHATIA, A.; KALDRA, N.; Winning in IoT: It's All About the Business Processes, BCG. Perspectives by The Boston Consulting Group, 2017.
    4. Official documentation of the MQTT protocol, version 3.1.1. Available from: .

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