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概况

Huawei Technologies Co., Ltd

2017-03-09    Publisher:系统管理员2630

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Background

 JMD manufactory modified the manufacturing process; raw material quality from suppliers will directly affect product’s quality, and lead to product recalls.

 Huawei produce a series of products approaching fifty million every year, and annual production to two digital growths.

 Through the whole production process data monitoring, data received each year reached more than 30 billion.

 Need big data analysis to research product potential problems and quality problems, however, currently lacks of effective solutions.

 

Solutions

JDM manufacturing quality for big data analysis platform

Massive data analysis for distributed file storage engine

Big data preprocessing ETL engine

Stream data processing engine and memory

Product quality warning model base

Issue tracking and closed loop engine

Provides hours of class-based early warning capabilities of Big Data base on JDM products

Constructed field data analysis, algorithm modeling knowledge, reduces duplication of investment, rapid prototyping, rapid deployment;

Supports user permissions and role management, send early warning information and issue tracking closed-loop

Establish dynamic correction continued iteration and rapid retrieval of self-learning loop system

 


Doctoral tutor

  • Prof. Zhexue Huang

    Prof. Zhexue Huang

    Guangdong Province leading talent Shenzhen University Chair Professor State In..
  • Prof. Zhong Ming

    Prof. Zhong Ming

    Shenzhen Pengcheng scholar Professor Secondary Shenzhen University professor E..
  • Prof. Xizhao Wang

    Prof. Xizhao Wang

    Prof. Xizhao Wang,Ph.D., ProfessorI,EEE Fellow,Springer magazine Machine Learnin..

Research project

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