Industrial equipment predictive maintenance method based on cloud edge cooperation

Abstract

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.

Description

technical field [0001] The invention relates to the technical fields of cloud computing and edge computing, in particular to a method for predictive maintenance of industrial equipment based on cloud-edge collaboration. Background technique [0002] In recent decades, the development of the Internet has witnessed the trend of moving computing, data storage, and applications into cloud data centers (Data Centers), thereby promoting the ubiquity of on-demand access to shared computing and storage resources. Cloud computing demonstrates its advantages in many aspects including high utilization of shared resources, low cost of service deployment and management, scalability, accessibility and high availability. Today, in the era of the Internet of Things, the unprecedented amount of data generated by IoT devices needs to be collected and analyzed. Using cloud computing centers to collect such data will generate extremely high latency and occupy a large network bandwidth, and caus...

AI Technical Summary

Problems solved by technology

However, due to the incomplete nature of edge data in edge computing, the results of data analysis at the edge have a certain deviation compared with the use of global data.

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