A mechanical equipment fault early warning method and system based on an industrial internet of things and a readable storage medium

Abstract

The invention discloses a mechanical equipment fault early warning method and system based on an industrial internet of things and a readable storage medium. The method comprises the following steps:a sensor node collects state data of mechanical equipment and transmits the state data of the mechanical equipment to a data gateway for pre-judgment processing; if the absolute difference value between the current state data of the mechanical equipment and preset standard state data is larger than a preset threshold value, the state data of the mechanical equipment is uploaded to a cloud server;and the cloud server extracts characteristic values after preprocessing the state data of the mechanical equipment, and a classification fault model is utilized to conduct early warning and diagnosison the characteristic values data to obtain a diagnosis result. According to the disclosed mechanical equipment fault early warning method and system based on the industrial internet of things and thereadable storage medium, by collecting the state data of mechanical equipment, carrying out pre-judgment processing by utilizing the data gateway, uploading the abnormal status data to the cloud server and carrying out accurate warning by utilizing the preset classification fault model, accuracy of fault early warning and diagnosis of the mechanical equipment is improved.

Description

technical field [0001] The present invention relates to the field of mechanical equipment monitoring, and more specifically, to a method, system, and readable storage medium for early warning of mechanical equipment faults based on the Industrial Internet of Things. Background technique [0002] With the continuous development of modern industrial technology and the continuous increase of industrial scale, the application of industrial machinery in various industrial scenarios has become a common scene in the industry. For example, in many process industries, large mechanical equipment is widely used to support the normal process of the entire process. , High-speed operation. Once mechanical equipment fails, it will not only bring economic losses, but also endanger personal safety, causing serious harm and impact. Therefore, it is important to ensure the healthy operation of mechanical equipment and after equipment failure, even inspection and repair [0003] With the conti...

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Problems solved by technology

Once mechanical equipment fails, it will not only bring economic losses, but also endanger personal safety, causing serious harm and impact. Therefore, it is important to ensure the healthy operation of mechanical equipment and after equipment failure, even inspection and repair

[0003] With the continuous deepening of the application of computer technology in the field of real-time monitoring and diagnosis, it has become an important direction of diagnostic technology to apply expert system technology based on knowledge base to the field of diagnosis and early warning. However, the traditional early warning and diagnosis methods have low efficiency and poor accuracy. Unable to provide accurate reference for operation and maintenance personnel

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