Integrating Module Development of Office Climate Control System Dynamic Models with InfluxData IoT Platform

Student: Shchelkunov Andrei

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Information Analytics in Enterprise Management (Master)

Year of Graduation: 2020

The paper considers the issue of optimizing the heat costs for office space heating by changing the intensity of the heater according to the recommendations of the simulation model for effective temperature management. It is proposed to use the OpenModelica modeling environment to develop a digital twin of the smart office in terms of climate control and the IOT platform InfluxData, which allows you to interact with office devices through a management system. The solution for interaction of simulation models with the IoT platform is proposed in the form of an integration module that allows you to run the model simulation, form a recommendation for temperature management and apply it in an office space in order to optimize heat costs and ensure the comfort of people.

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