PT Journal
AU Slama, P
   Nozicka, J
TI Implementing Cloud Solutions to Optimize the Operation of District Heating Networks with Preparation for MindSphere(R)
SO Acta Mechanica Slovaca
PY 2021
BP 42
EP 50
VL 25
IS 1
DI 10.21496/ams.2021.007
DE control systems; district heating; MindSphere; mathematical prediction; pipeline network; heat exchanger stations
AB 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(R) environment. The particular segments of the introduced solution are: design, activation and debugging of the senders of all wireless sensors.
ER