Visual satellite fault diagnosis knowledge generation method, device and system

A satellite fault and diagnosis system technology, applied in the field of satellite measurement, operation and control, can solve problems such as the inability to efficiently generate satellite fault diagnosis knowledge, and achieve the effects of realizing visual generation, improving generation efficiency, and reducing generation thresholds

Active Publication Date: 2022-01-14
KEY & CORE TECH INNOVATION INST OF THE GREATER BAY AREA +1
View PDF8 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method, system and electronic equipment for generating visual satellite fault diagnosis knowledge, aiming to solve the technical problem that satellite fault diagnosis knowledge cannot be efficiently generated in the prior art

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
  • Visual satellite fault diagnosis knowledge generation method, device and system
  • Visual satellite fault diagnosis knowledge generation method, device and system
  • Visual satellite fault diagnosis knowledge generation method, device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] figure 1 It is an implementation flowchart of the method for generating visual satellite fault diagnosis knowledge shown in the first embodiment. The generation method of visualized satellite fault diagnosis knowledge shown in Embodiment 1 is applicable to electronic equipment. The electronic equipment is provided with a processor. After monitoring the input of the graphical interface for the satellite fault diagnosis system, it can extract its graphical features according to the , and index in the pre-built knowledge model to generate the corresponding knowledge expression, realizing the efficient and visual generation of satellite fault diagnosis knowledge.

[0051] Step S110, monitoring the user's graphical interface input to the satellite fault diagnosis system.

[0052] Step S120, responding to the graphical interface input, extracting corresponding graphical features.

[0053] Step S130, indexing in the pre-built knowledge model according to the graphic features...

Embodiment 2

[0086] image 3 It is a block diagram of the device for generating visualized satellite fault diagnosis knowledge shown in the second embodiment. The system can execute all or part of the steps of any one of the methods for generating visual satellite fault diagnosis knowledge shown above. The system includes:

[0087] The input monitoring module 10 is used for monitoring the user's graphical interface input for the satellite fault diagnosis system;

[0088] Graphical feature extraction module 20, for responding to graphical interface input, extracting corresponding graphic features;

[0089] The knowledge expression generation module 30 is configured to index in a pre-built knowledge model according to the graphic features, and generate a knowledge expression corresponding to the graphic features.

Embodiment 3

[0091] Figure 4 It is a block diagram of the satellite fault diagnosis system shown in the third embodiment. Such as Figure 4 As shown, a satellite fault diagnosis system provided by Embodiment 3 of the present invention includes a human-computer interaction unit, a knowledge management unit and a knowledge generation unit connected by communication, wherein:

[0092] The human-computer interaction unit is used to provide users with functions such as knowledge retrieval, graphical operation, knowledge import, knowledge addition, knowledge editing, and knowledge enabling / disabling;

[0093] The knowledge management unit is used to realize functions such as data loading, knowledge update, knowledge batch import, knowledge synchronization, knowledge storage, knowledge release, and rapid establishment of knowledge for satellites of the same model and parameters;

[0094] The knowledge generation unit is used to receive the user's graphical interface input to generate knowledge...

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 is applicable to the technical field of satellite measurement, operation and control, and provides a visual satellite fault diagnosis knowledge generation method, device and system, and the method comprises the steps: monitoring the graphical interface input of a user for a satellite fault diagnosis system; responding to the graphical interface input, and extracting corresponding graphical features; and indexing in a pre-constructed knowledge model according to the graphic features, and generating a knowledge expression corresponding to the graphic features. The generation of the satellite fault diagnosis knowledge can be realized through the visual graphical interface input, and the visual generation of the satellite fault diagnosis knowledge can be efficiently realized without knowing a programming language by a user, so that the generation threshold of the satellite fault diagnosis knowledge is greatly reduced, and the generation efficiency of the satellite fault diagnosis knowledge is improved.

Description

technical field [0001] The invention belongs to the technical field of satellite measurement, operation and control, and in particular relates to a method and a system for generating visual satellite fault diagnosis knowledge. Background technique [0002] In the scenario where the object of fault diagnosis is a satellite, equipment, etc., to determine whether the object of diagnosis is faulty, it is necessary to judge the characteristic data according to the judgment rules after receiving the characteristic data sent by the object of diagnosis. Satellite diagnostic knowledge is divided into threshold judgment, state judgment, time-varying judgment and other judgment methods. Single-parameter and multi-parameter simultaneous judgment rules are established, and knowledge expressions are generated according to the rules. Because the satellite knowledge expression has the characteristics of computer programming language, semantic logic includes IF, else, then, and, or, eq, not,...

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): G06N5/02G06N5/04G06F16/9032
CPCG06N5/025G06N5/04G06F16/9032
Inventor 曾伟刚尚军杰朱亚帅杨军红刘浩陈振安林中杰郑强
Owner KEY & CORE TECH INNOVATION INST OF THE GREATER BAY AREA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products