We developed a parser for analyzing and debugging system messages from washing machines, which was implemented using Python programming language and the 'PyQt' library for the user interface. The primary challenge addressed, was the excessive memory usage in washing machines due to saving of system messages on the device itself. The approach involved creating a lookup table with a predefined structure, which facilitated the searching and indexing of messages into a readable format. We achieved automated transmission of messages to the user interface, resulting in reduced local memory consumption on the washing machine. The key outcome of this work was the development and optimization of a parsing tool, that processes messages into a readable format on the user interface, thereby reducing the space usage on the local memory of the washing machine.
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