Abnormity prediction and tracing method, system and equipment based on automobile production, and medium

An automobile and abnormal technology, applied in forecasting, manufacturing computing systems, relational databases, etc., can solve problems such as inability to predict and trace abnormalities

Pending Publication Date: 2021-09-14
广域铭岛数字科技有限公司 +1
View PDF6 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the above-mentioned shortcomings of the prior art, the object of the present invention is to provide a method, system, device and medium for abnormalit

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
  • Abnormity prediction and tracing method, system and equipment based on automobile production, and medium
  • Abnormity prediction and tracing method, system and equipment based on automobile production, and medium
  • Abnormity prediction and tracing method, system and equipment based on automobile production, and medium

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0044] The embodiments of the present invention are described below through specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other under the condition of no conflict.

[0045] It should be noted that the drawings provided in the following embodiments are only used to illustrate the basic concept of the present invention in a schematic way, so the drawings only show the components related to the present invention rather than the number, shape and number of compo...

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 an abnormity prediction and tracing method, a system and a device based on automobile production, and a medium, and particularly relates to the field of intelligent manufacturing. The method comprises the following steps: constructing a knowledge graph ontology model of the automobile field, wherein the ontology model comprises entity information of the automobile field, attribute information corresponding to each entity and relation information among the entities; performing slot filling on each entity field, an attribute field corresponding to each entity field and a relation field among the entity fields based on the ontology model, and constructing a knowledge graph of the automobile field; analyzing the obtained production data by utilizing a knowledge graph to obtain a relationship among all transactions in an automobile production link; and searching the relationship among the transactions in the automobile production link by using the multi-layer relationship to obtain abnormity information and perform abnormity tracing. According to the method, the abnormity information can be quickly predicted, and tracing can be carried out according to the abnormity information, so that abnormity causes can be quickly and effectively positioned.

Description

technical field [0001] The invention relates to the field of intelligent manufacturing, in particular to a method, system, equipment and medium for abnormal prediction and traceability based on automobile production. Background technique [0002] At present, automobile manufacturing is a complex process. Automobile manufacturing plants usually have stamping workshops, welding workshops, painting workshops and final assembly workshops. The stamping workshop is responsible for stamping steel plates into sheet metal parts, and the welding workshop is responsible for welding the sheet metal parts. The painting workshop is responsible for rust-proofing and painting the body, and the assembly workshop is responsible for installing the powertrain, chassis and electrical equipment on the body to obtain the finished car. [0003] In order to avoid affecting the production efficiency of automobiles in the production process of automobiles, managers at all levels are required to regula...

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
IPC IPC(8): G06F16/36G06F16/28G06Q10/04G06Q30/00G06Q50/04
CPCG06F16/367G06F16/288G06Q10/04G06Q30/018G06Q50/04Y02P90/30
Inventor 王晓虎陈浩楠谌李雪汪哲逸刘向阳
Owner 广域铭岛数字科技有限公司
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