The invention relates to the technical field of power equipment maintenance, in particular to a big data technology-based high-voltage circuit breaker state evaluation method, which comprises the following steps of: A) obtaining detection data of high-voltage circuit breakers of the same model during historical maintenance; b) establishing a high-voltage circuit breaker fault evaluation model; c)establishing an association model of the mechanical characteristics of the high-voltage circuit breakers of the same type and the life cycle of mechanical parts; d) obtaining an association model of the electrified opening and closing times and the contact resistance of the high-voltage circuit breaker of the same model; e) obtaining detection data of the to-be-evaluated high-voltage circuit breaker, and obtaining a fault evaluation result of the high-voltage circuit breaker; the method for evaluating the life cycle of the mechanical part of the high-voltage circuit breaker has the advantagesthat a fault evaluation model is established by obtaining historical detection of the high-voltage circuit breaker and detection data under faults, and the faults of the high-voltage circuit breaker can be rapidly judged. The method for evaluating the life cycle of the mechanical part of the high-voltage circuit breaker has the advantages of being high in practicability and easy to popularize.