Development of a Resource to Automate the Process of Categorisation of Critical Information Infrastructure Objects

The article deals with the automation of the process of categorisation of critical information infrastructure objects in the energy sector. A Python-based software resource has been developed to automate the creation of documentation and optimise data collection. The article analyses the existing approaches to categorisation of critical information infrastructure objects and proposes an algorithm that simplifies this procedure. The stages of programme development are described in detail, including creation of document templates, application of Python libraries for data processing and testing of the resource on the example of energy facilities. Special attention is given to compliance with legislative requirements and the practical significance of automation. The results confirm the effectiveness of the proposed approach, reducing time and labour costs and improving the accuracy of information processing. The paper concludes with a discussion of development prospects, such as the introduction of a graphical interface and expansion of functionality.