An intelligent collaborative operation control strategy for an electro-hydraulic suspension system of a high-horsepower tractor is provided, including: S1, establishing an operation task database; S2, collecting information of the electro-hydraulic suspension system during an operation of the high-horsepower tractor in real time as real-time data; S3, preprocessing the real-time data; S4, analyzing a dataset and generating a preliminary control strategy for the electro-hydraulic suspension system based on parameters in the operation task database; S5, performing data interaction and collaborative control with operation units; S6, identifying deviations between operation status data and expected control parameters; S7, dynamically adjusting the preliminary control strategy. Through implementation of sensing technology and machine learning algorithms, real-time and precise adjustment of operation parameters for the suspension system of the tractor is achieved, significantly enhancing a level of automation and intelligence in operations, thereby effectively improving efficiency and economic benefits of agricultural operations.