View source for 17795276. METHOD AND APPARATUS FOR EARLY WARNING OF DRY PUMP SHUTDOWN, ELECTRONIC DEVICE, STORAGE MEDIUM AND PROGRAM simplified abstract (BOE TECHNOLOGY GROUP CO., LTD.)

=METHOD AND APPARATUS FOR EARLY WARNING OF DRY PUMP SHUTDOWN, ELECTRONIC DEVICE, STORAGE MEDIUM AND PROGRAM=


==Organization Name==

[[:Category:BOE TECHNOLOGY GROUP CO., LTD.|BOE TECHNOLOGY GROUP CO., LTD.]]


[[Category:BOE TECHNOLOGY GROUP CO., LTD.]]

==Inventor(s)==

[[:Category:Qing Zhang of Beijing (CN)|Qing Zhang of Beijing (CN)]][[Category:Qing Zhang of Beijing (CN)]]

[[:Category:Quanguo Zhou of Beijing (CN)|Quanguo Zhou of Beijing (CN)]][[Category:Quanguo Zhou of Beijing (CN)]]

[[:Category:Lijia Zhou of Beijing (CN)|Lijia Zhou of Beijing (CN)]][[Category:Lijia Zhou of Beijing (CN)]]

[[:Category:Jiuyang Cheng of Beijing (CN)|Jiuyang Cheng of Beijing (CN)]][[Category:Jiuyang Cheng of Beijing (CN)]]

[[:Category:Zhidong Wang of Beijing (CN)|Zhidong Wang of Beijing (CN)]][[Category:Zhidong Wang of Beijing (CN)]]

[[:Category:Ruwang Guo of Beijing (CN)|Ruwang Guo of Beijing (CN)]][[Category:Ruwang Guo of Beijing (CN)]]

[[:Category:Lirong Xu of Beijing (CN)|Lirong Xu of Beijing (CN)]][[Category:Lirong Xu of Beijing (CN)]]

[[:Category:Junrui Zhang of Beijing (CN)|Junrui Zhang of Beijing (CN)]][[Category:Junrui Zhang of Beijing (CN)]]

[[:Category:Xuehui Zhu of Beijing (CN)|Xuehui Zhu of Beijing (CN)]][[Category:Xuehui Zhu of Beijing (CN)]]

[[:Category:Meng Guo of Beijing (CN)|Meng Guo of Beijing (CN)]][[Category:Meng Guo of Beijing (CN)]]

==METHOD AND APPARATUS FOR EARLY WARNING OF DRY PUMP SHUTDOWN, ELECTRONIC DEVICE, STORAGE MEDIUM AND PROGRAM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17795276 titled 'METHOD AND APPARATUS FOR EARLY WARNING OF DRY PUMP SHUTDOWN, ELECTRONIC DEVICE, STORAGE MEDIUM AND PROGRAM

==Simplified Explanation==
The patent application describes a method and apparatus for early warning of dry pump shutdown using historical operating data and predictive models.

==Key Features and Innovation==
* Obtaining historical operating data of a dry pump.
* Building a Kalman filter model with the historical data.
* Predicting future operating data using the Kalman filter model.
* Training a shutdown prediction model with historical and predicted data.
* Providing early warning information of dry pump shutdown based on current operating data.

==Potential Applications==
This technology can be applied in industrial settings where dry pumps are used, such as semiconductor manufacturing, chemical processing, and vacuum systems.

==Problems Solved==
This technology addresses the issue of unexpected dry pump shutdowns, which can lead to production delays, equipment damage, and safety hazards.

==Benefits==
* Early warning of dry pump shutdowns.
* Improved maintenance planning.
* Increased operational efficiency.
* Reduced downtime and costs.

==Commercial Applications==
* Industrial automation systems.
* Semiconductor manufacturing equipment.
* Chemical processing plants.

==Prior Art==
There is no specific information provided about prior art related to this technology in the abstract.

==Frequently Updated Research==
There is no information provided about frequently updated research related to this technology in the abstract.

==Questions about Early Warning of Dry Pump Shutdown==
===Question 1===
How does the Kalman filter model improve the accuracy of predicting dry pump shutdowns?

The Kalman filter model uses historical data to make more accurate predictions about future operating conditions, allowing for early warning of potential shutdowns.

===Question 2===
What are the potential consequences of a dry pump shutdown in an industrial setting?

A dry pump shutdown in an industrial setting can lead to production delays, equipment damage, and safety hazards, resulting in significant financial losses and operational disruptions.


==Original Abstract Submitted==

The disclosure provides a method and apparatus for early warning of dry pump shutdown, an electronic device, a storage medium and a program, and belongs to the technical field of automatic control. The method comprises: obtaining historical operating data of a dry pump; building a Kalman filter model by using the historical operating data; predicting predicted operating data of the dry pump through the Kalman filter model; training a shutdown prediction model by using the historical operating data and the predicted operating data; and inputting current operating data of the dry pump into the trained shutdown prediction model to obtain shutdown early warning information of the dry pump.



[[Category:G06N20/00]]
[[Category:G06N5/022]]