The invention relates to the technical field of cloud computing and edge computing, and aims to provide an industrial equipment predictive maintenance method based on cloud-edge cooperation. The invention discloses an industrial equipment predictive maintenance method based on cloud-side cooperation, and the method comprises the following steps: S1, heterogeneous sensing equipment collects the equipment state data of industrial equipment, and transmitsg the equipment state data to an edge computing platform; s2, an edge data management module of an edge computing platform obtains feature datarequired by a prediction task of the target equipment according to data uploaded by the heterogeneous sensing equipment; a configuration reloading module of a prediction service orchestrator obtains equipment state prediction model configuration of the cloud computing platform and equipment state prediction model configuration trained by an edge model training module, a model operation module loads a latest equipment state prediction model of target equipment, and extracted feature data is input; whether the target equipment has a fault risk or not is judged according to the output data of themodel operation module, if so, the next step is executed, and if not, the step S1 is returned; and S3, a trigger management module of the edge computing platform notifies a designated person in charge of fault early warning information according to a preset trigger. According to the invention, accurate and efficient industrial equipment predictive maintenance can be realized.