Research on fault self diagnosis technology of agricultural internet of things information collection system

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Abstract

In order to realize the accurate and effective collection and acquisition of agricultural production environment information by the information acquisition system of the agricultural Internet of Things, the information acquisition system of the agricultural Internet of Things was developed and designed, and the fault self-diagnosis of the whole information acquisition system of the Internet of Things was studied and processed. This paper mainly considers the soft and hard faults of the acquisition system, analyses the causes and classifications of the hard and soft faults, and detects and treats the faults according to their respective problems. The whole set of fault self-diagnosis system of agricultural Internet of Things has been realized in practical application, and the system is stable and reliable. The system can monitor all kinds of faults in the collection system of the Internet of Things in real time, and send short messages to professional technicians for timely maintenance and repair of the faults.

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Zhang, J., Liu, P., Yu, X., & Fu, J. (2019). Research on fault self diagnosis technology of agricultural internet of things information collection system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11634 LNCS, pp. 373–383). Springer Verlag. https://doi.org/10.1007/978-3-030-24271-8_34

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