Machine learning model establishment method for improving turnover rate of large-scale equipment

The invention discloses a machine learning model establishment method for improving the turnover rate of large equipment, belongs to the technical field of machine learning model establishment, and solves the problem of lack of information products for automatically and accurately matching large equipment such as a shield tunneling machine and an engineering project on the market. Comprising the steps of training an intelligent extraction classification model through training data for classification, completing extraction, classification and summarization of project class information data and equipment class information data, establishing an information database, training a data matching model through training data for matching to complete classification matching of the project class information data and the equipment class information data, and establishing an information database. After training of the data matching model is completed, the practicability of the data matching model is checked according to an