Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Board card operation state early warning method, device and equipment and readable storage medium

A technology of operating status and early warning device, applied in the field of data processing, to achieve the effect of improving accuracy and reducing scope

Active Publication Date: 2022-03-25
湖南云箭智能科技有限公司
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are few monitoring methods for the operating status of boards, so what parameters and methods are used to obtain a score that can reflect the overall status of the board, and then it is very important to give early warning to the board based on this score

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Board card operation state early warning method, device and equipment and readable storage medium
  • Board card operation state early warning method, device and equipment and readable storage medium
  • Board card operation state early warning method, device and equipment and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0069] like figure 1 As shown, this embodiment provides a method for early warning of the running state of the board, and the method includes step S1, step S2, step S3 and step S4.

[0070] Step S1. Obtain first data and second data. The first data includes the first surface temperature set of the board at the current moment. The first surface temperature set includes the surface temperature of at least one board, and the second The data includes the humidity collection of the area around the board at the current moment;

[0071] Step S2. Eliminate the abnormal temperatures in the first surface temperature set based on the clustering algorithm based on the distance class, and obtain the eliminated surface temperature set;

[0072] Step S3, based on the eliminated surface temperature set, use the Kalman filter algorithm and the differential autoregressive moving average prediction model to predict and obtain the predicted value of the surface temperature of the board after the...

Embodiment 2

[0106] like figure 2 As shown, this embodiment provides an early warning device for board running status, which includes an acquisition module 701 , a rejection module 702 , a prediction module 703 and an early warning module 704 .

[0107] An acquisition module 701, configured to acquire first data and second data, the first data includes a first surface temperature set of the board at the current moment, and the first surface temperature set includes the surface temperature of at least one board, so The second data includes the humidity collection of the area around the pallet at the current moment;

[0108] The elimination module 702 is used to eliminate the abnormal temperature in the first surface temperature set based on the clustering algorithm of the distance class, and obtain the surface temperature set after elimination;

[0109] The prediction module 703 is configured to use the Kalman filter algorithm and the differential autoregressive moving average prediction ...

Embodiment 3

[0134] Corresponding to the above method embodiments, the embodiment of the present disclosure also provides a board operation state early warning device, and the board operation state early warning device described below and the board operation state early warning method described above can be referred to in correspondence.

[0135] image 3 It is a block diagram of a board card running state early warning device 800 shown according to an exemplary embodiment. like image 3 As shown, the board running state warning device 800 may include: a processor 801 and a memory 802 . The board running state warning device 800 may also include one or more of a multimedia component 803 , an input / output (I / O) interface 804 , and a communication component 805 .

[0136]Wherein, the processor 801 is used to control the overall operation of the board running state early warning device 800 to complete all or part of the steps in the above board running state early warning method. The memor...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a board card operation state early warning method, apparatus and device, and a readable storage medium. The method comprises the steps of obtaining first data and second data; removing abnormal temperatures in the first surface temperature set based on a distance class clustering algorithm; based on the rejected surface temperature set, utilizing a Kalman filtering algorithm and a differential autoregressive moving average prediction model to predict and obtain a surface temperature prediction value of the board card after the first time period; and determining an operation state score of the board card after the first time period based on the surface temperature predicted value and the second data, and performing early warning based on the operation state score of the board card after the first time period. According to the method, the temperature and the humidity are selected as scoring factors instead of only selecting one factor for scoring, and the calculated score can better reflect the current running state of the board card by selecting multiple factors, so that the accuracy of early warning of the board card is improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method, device, equipment and a readable storage medium for early warning of the operating state of a board. Background technique [0002] During the operation of the board, the operating status of the board plays a very important role in the operation of the entire device. At present, there are few monitoring methods for the running status of boards, so what parameters and methods are used to obtain a score that can reflect the overall status of the board, and then it is very important to give early warning to the board based on this score . Contents of the invention [0003] The object of the present invention is to provide a method, a device, a device and a readable storage medium for early warning of the operating state of the board, so as to improve the above-mentioned problems. [0004] In order to achieve the above purpose, the embodiment of the present appli...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/30G06F11/34G06K9/62
CPCG06F11/3031G06F11/3058G06F11/3476G06F11/3452G06F18/23
Inventor 谭学元曹美春高万军
Owner 湖南云箭智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com