Cloud mobile terminal cooperative fault early warning method, related device and system

Abstract

The invention discloses a cloud mobile terminal cooperative fault early warning method, and a related device and system. User data information is monitored through a mobile terminal, the cloud terminal receives the data sent by the mobile terminal, the data sent by the mobile terminal are processed, a fault early warning model is obtained and sent to the mobile terminal, and the mobile terminal obtains the fault early warning model for fault early warning. According to the method, the high computing power and the large storage space of the cloud are utilized to effectively solve the requirements of limited resources of the user mobile terminal and the computing power and the storage space in the training process of the machine learning model. Meanwhile, the cloud end can provide a large amount of user data, the problem that the data size of a single user mobile terminal is insufficient is solved, the early warning model is fully trained, and the accuracy of fault early warning can be effectively improved by training one early warning model for each type of mobile terminal.

Description

technical field [0001] The invention belongs to the application field of machine learning technology, and more specifically, relates to a fault early warning method, related equipment and system for collaboration between cloud and mobile terminals. Background technique [0002] With the rapid development of mobile communication and embedded technology, the hardware performance and software level of mobile terminals are constantly improving, which not only provides users with superior user experience, but also greatly improves people's work efficiency and quality of life. The application of the mobile terminal extends to daily life such as learning, shopping, online payment, entertainment, etc. Its wide use brings us convenience, but also brings various challenges. A large amount of important data information of users is stored on the mobile terminal, such as address book, schedule, short message, etc. Once there is loss, accidental deletion or other operations that may caus...

AI Technical Summary

Problems solved by technology

[0005] In view of the above defects or improvement needs of the prior art, the present invention provides a cloud-based mobile terminal collaborative fault early warning method, related equipment and system, thereby solving the existing data shortage caused by simply using the mobile terminal for fault early warning, The accuracy is not high enough, the large amount of calculation and storage space required by the early warning model

The method of training the model in machine learning through a large amount of data collected in the cloud and then using it to analyze the fault is aimed at solving the problems of small training data and insufficient accuracy in the existing fault warning method, and can pass through the cloud The large computing power and storage space effectively solve the problem of limited mobile terminal resources

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