Methods and systems for determining device anomaly based on industrial internet of things

Abstract

A method and a system for determining a device anomaly based on an industrial Internet of things (IoT). The method includes: generating a data collection instruction based on a preset sampling rate; obtaining, based on the data collection instruction, operation data of at least one target device; determining a data anomaly degree for the at least one target device based on the operation data; in response to determining that the data anomaly degree satisfies a preset condition, determining an abnormal device based on the data source identification of the operation data; generating an anomaly warning instruction based on the abnormal device and the data anomaly degree corresponding to the abnormal device; based on the data anomaly degree, generating and sending a sampling adjustment instruction; and based on the data anomaly degree, generating and sending a storage adjustment instruction.