DEVELOPMENT OF A MOBILE APPLICATION TO SUPPORT THE PROVISION OF ENERGY MICROGRID SERVICES
DOI:
https://doi.org/10.32689/maup.it.2024.1.11Keywords:
mobile application, energy microgrids, interface, functional state, forecastingAbstract
The purpose of the work is to develop a mobile application for informing customers of energy networks about the state of operation of the networks, as well as about the forecasted volumes of electricity generation from renewable sources. Methodology. To study the relevance of using mobile applications to gain access to information about the current and projected state of energy networks, an analytical method was applied, which includes the search and analysis of relevant scientific literature, the study of existing mobile applications, as well as the establishment of functional requirements for the mobile application. The methods of structural-functional modeling are used to represent the system in the form of functions that are related to each other and functions that transform input data into output. The design method was used in the development of UML use case diagrams. For the practical implementation of the mobile application, a methodology using the principle of Clean Architecture was chosen. The results. An overview of modern trends in the development of mobile applications, including for monitoring and managing energy networks, was conducted. Modeling of the mobile application use case was carried out, as well as modeling of the sequence of actions of the main actors in working with the mobile application using the UML language. The mobile application is developed for the Android operating system to work with energy network data stored in the SQLite database management system. The screens of the mobile application - authorization, location selection, and the main screen, which displays information about the energy microgrid at the selected location, were designed and implemented. The operation of the mobile application to support the provision of services from electric microgrids to a client with two microgrids installed in different locations has been tested. The scientific novelty lies in the fact that the developed mobile application has such an architecture that allows integration into the decision support system for managing energy microgrids and displaying data from a single database of the information system through the API interface. Conclusion. The work presents the development of a mobile application for user monitoring of the current state of the energy microgrid, as well as informing about the forecast volumes of electricity generation.
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