Ion pump monitoring and early warning method and device, electronic equipment and storage medium

Through camera timed capture and deep learning model recognition, accurate monitoring of key parameters of ion pumps is achieved, and the problem of in-depth recording and analysis of parameters in the existing technology is solved, reducing labor costs and improving monitoring efficiency.

CN119694088APending Publication Date: 2025-03-25WINNER MEDICAL CO LTD
0 Cites 0 Cited by

Patent Information

Application Number
CN202411483340.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-23
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

The prior art cannot deeply record and analyze the key parameters of ion pumps, and it is difficult to form a continuous and traceable historical data trend, and it increases the memory burden and risk of misjudgment of inspectors.

Method used

The camera regularly captures the picture of the ion pump parameter display screen and uploads it to the FTP server. The deep learning model is used to identify the voltage and current values, compare and analyze in real time, and configure reminders and methods. If the set conditions are not met, alarm information and pictures will be sent.

Benefits of technology

It realizes accurate and efficient monitoring of key parameters of electron beam sterilization line ion pumps, solves the problem of the lack of direct data acquisition interface for old equipment, ensures real-time and accurate data capture, and reduces labor costs.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The embodiment of the invention discloses an ion pump monitoring and early warning method and device, electronic equipment and a storage medium, and relates to the technical field of the Internet of Things and artificial intelligence, and the method comprises the steps: capturing pictures of an ion pump parameter display screen at regular time through a camera, uploading the pictures to an FTP server, obtaining the pictures from the FTP server at regular time, and sending the pictures to the FTP server; the method comprises the following steps of: preprocessing a picture, identifying a voltage and a current value in the picture by utilizing a deep learning model, comparing and analyzing the voltage and the current value in real time according to a set threshold value, configuring a reminding person and a reminding mode, and if a comparison and analysis result does not meet a set condition, sending alarm information and the picture to the reminding person according to the reminding mode. Through deep fusion of timed snapshot of the camera, A I recognition and intelligent early warning, accurate and efficient monitoring of key parameters of the electron beam sterilization line ion pump is achieved, and the problems that in the prior art, parameters cannot be deeply recorded and analyzed, and a continuous and traceable historical data trend is difficult to form are solved.
Need to check novelty before this filing date? Find Prior Art