Electromechanical equipment state management method, system and storage medium based on Internet of Things

By installing sensors on electromechanical equipment to collect data in real time, and using IoT technology to preprocess and feature extraction, the problem of lack of real-time support for equipment status management in the existing technology is solved, real-time monitoring of equipment operating status and early fault warning are achieved, and production efficiency and equipment service life are improved.

CN119377586BActive Publication Date: 2025-03-28SICHUAN GAOLU INFORMATION TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202411958750.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-30
Publication Date
2025-03-28
Estimated Expiration
2044-12-30

AI Technical Summary

Technical Problem

The existing industrial Internet of Things technology has data management and equipment monitoring that rely on manual inspection or regular maintenance in the state management of electromechanical equipment, lacks real-time data support, and it is difficult to detect equipment abnormalities in a timely manner, resulting in inaccurate fault warnings and affecting production efficiency.

Method used

The Internet of Things-based electromechanical equipment state management method is adopted. By installing sensors on electromechanical equipment, data is collected in real time, and data is sent to the data preprocessing module for cleaning and filling in vacant areas, timing and frequency domain features are extracted, abnormal detection and fault warning are performed.

Benefits of technology

Real-time monitoring of the operating status of electromechanical equipment, timely detection of abnormal situations, trigger early warnings, avoid equipment failures, reduce downtime, improve production efficiency, and extend the service life of the equipment and reduce maintenance costs through refined and intelligent management strategies.

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Abstract

The present invention discloses a method, system and storage medium for managing the state of electromechanical equipment based on the Internet of Things, and relates to the technical field of industrial Internet of Things. The present invention realizes real-time monitoring of the operating state of the equipment by installing sensors on the electromechanical equipment and collecting the timing data of the equipment in real time. The system can detect abnormal conditions in the operation of the equipment in a timely manner, such as excessive temperature, abnormal pressure, etc., thereby triggering early warning. This helps to avoid equipment failures, reduce downtime, and improve production efficiency; through the Internet of Things protocol, the timing data is used for cleaning, preprocessing and further time domain or frequency domain analysis to provide data support for equipment status diagnosis, improve the accuracy of the electromechanical status management data analysis process, and make equipment management more refined and intelligent; by regularly collecting, cleaning and analyzing the operating data of the equipment, the system can provide data-based maintenance and management decision support.
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