Excavator mode gear recommendation method

The invention relates to excavator control and aims to solve the problem that no reference exists in mode gear selection of an existing excavator. The invention provides an excavator mode gear recommendation method based on car networking dynamic big data. The excavator mode gear recommendation method comprises the steps of collecting excavator operation data according to a preset frequency and uploading the excavator operation data to a big data platform; the big data platform analyzes the working mode, the accelerator gear and the average oil consumption which are mainly used by each excavator within the preset time according to the preset analysis frequency; the big data platform determines a target excavator and a reference excavator according to the average oil consumption and a machine type oil consumption preset value; the working mode mainly used by the reference excavator and accelerator gear information are sent to all the target excavators; each target excavator displays a recommended working mode