AI assistant for intelligent interaction and route optimization in offshore turbine maintenance system

The work is devoted to the development and incorporation of an AI assistant that simplifies work with an intelligent software system.The AI assistant can process text information and natural human speech into a set of commands for performing various interactions with the software.The scope of application is an information system for offshore wind turbines' maintenance.The prototype of this system allows the simulation of the planning for offshore wind power turbine maintenance.A module has been developed to generate and visualise optimal routes for a sea vessel to traverse a set of turbines using the shortest path.The ant colony optimisation (ACO) algorithm is used to generate optimal routes.The assistant allows for improvement of the result.The improvement methods used are repeated usage of the ant colony optimisation algorithm on route sections and a trained LLM model.This allows to effectively improve the optimal route, obtaining a higher percentage of optimality and helps the operator in decision-making.The use of artificial intelligence significantly increases the efficiency of interaction with the software.