Electromechanical equipment information analysis method based on cloud computing

By installing a data acquisition unit on the electromechanical equipment, collecting and analyzing historical and real-time operation data, and establishing multi-stage correlation linear equations and abnormal guidance correlation probability, the problem of inefficiency of traditional monitoring methods is solved, and more accurate and timely fault diagnosis and equipment regulation are achieved.

CN119989694APending Publication Date: 2025-05-13GUANGDONG HUBAI ELECTROMECHANICAL CO LTD
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Patent Information

Application Number
CN202510083800.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-20
Publication Date
2025-05-13

AI Technical Summary

Technical Problem

Traditional electromechanical equipment monitoring methods are inefficient and difficult to fully and in real time reflect the operating status of the equipment. Especially in complex operating environments, it is difficult to capture and analyze the interactions and potential fault relationships between various components of the equipment.

Method used

Using a cloud-based electromechanical equipment information analysis method, a data acquisition unit is installed on each component of the target electromechanical equipment to collect history and real-time operation records. Using these data, a multi-segment linear equation and exception-guided correlation probability are established to realize abnormal judgment and component regulation decisions for real-time running data.

Benefits of technology

It improves the accuracy and timeliness of fault diagnosis, ensures that the equipment can be adjusted in time when abnormalities occur, and avoids further expansion of faults.

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Abstract

The invention discloses an electromechanical equipment information analysis method based on cloud computing, relates to the technical field of electromechanical equipment operation analysis, and improves the accuracy of electromechanical equipment operation fault diagnosis. According to the method, the standard operation data of each operation data of each component under different operation events is acquired, and a multi-section correlation linear equation and an abnormal guide correlation probability between each operation data in the same component or among different components under different operation events are established; according to standard operation data of the operation data, whether the real-time operation data in the operation records of the real-time subcomponents are abnormal or not is judged, and a real-time deviation value between the real-time operation data and the corresponding standard operation data is judged according to a judgment result; and inputting the real-time deviation value into the multi-section correlation linear equation according to the operation event currently executed by the target electromechanical equipment and the abnormal guide correlation probability, and generating a component regulation and control decision according to an output result of the multi-section correlation linear equation.
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