How does the Internet of Things Glove Box Achieve Intelligent Early Warning?

Features of intelligent early warning system:

1. Status parameters that can be collected in real time by the glove box:

(1) Content: oxygen content, water content, particulate dust content, carbon dioxide content

(2) Pressure: pressure in the chamber, pressure in the large antechamber, pressure in the small antechamber, indoor air pressure

(3) Temperature: temperature in the chamber, temperature in the large antechamber, temperature in the small antechamber, room temperature

(4) Time: cycle elapsed time, regeneration time, pumping time, and gas supply time

2. Status parameters are stored in real time, and historical status can be queried.
3. The user can set which status to monitor.
4. The user can set the threshold of each state parameter.
5. The system learns the changes of various parameters in the normal state of the equipment.
6. The system performs early warning according to the change of threshold or state parameters.
7. The system statistically analyzes the operation of the equipment to generate status reports.

The status is divided into three categories: normal, alarm reminder (suspected problem), abnormal notification (leakage, failure, failure).

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