MIAS

The Power from Big Data

Data Lake Insight
  • MIAS System can integrate, store, and compute with high speed from systems such as MES, AMHS, BC, DFS, FDC, EDA, SPC, REPORT, etc. through its flexible configuration. The integration and application allows users to search and retrieve data needed on MIAS Platform rapidly and conveniently. The IT Department also saves costs on installing multiple systems and resources from cross-system integration.
  • With the flexible configuration of MIAS Platform, administrators can connect more data sources and adjust query interface. Data from data-base such as Oracle, MySQL, etc. can all be easily integrated to MIAS Platform, allowing users to expanding the scope of analysis infinitely, realizing the full potential of big data.
  • On MIAS integrated analysis platform, users can examine the correlation of various data sources and analyze in depth the stability and reliability of products, processes, quality, equipments, and materials to improve the quality of products and processes, enhance yield rates, and strengthen the competitively of the industry effectively.
  • With MIAS System, users can easily retrieve data needed. Wherever a problem is spotted, analyses of all kinds can be carried out easily to complete the whole analytical process in one go. The system reduces time wasted on data integrate, giving more time and effort on problem solving and in-depth analysis.
   

Cross-System Integration Platform

MIAS System can integrate, store, and compute with high speed from systems such as MES, AMHS, BC, DFS, FDC, EDA, SPC, REPORT, etc. through its flexible configuration. The integration and application allows users to search and retrieve data needed on MIAS Platform rapidly and conveniently. The IT Department also saves costs on installing multiple systems and resources from cross-system integration.

Data Lake Insight – Infinitely Expanding Analysis Scope

With the flexible configuration of MIAS Platform, administrators can connect more data sources and adjust query interface. Data from data-base such as Oracle, MySQL, etc. can all be easily integrated to MIAS Platform, allowing users to expanding the scope of analysis infinitely, realizing the full potential of big data.

Comprehensive Cross-sectional Analysis

On MIAS integrated analysis platform, users can examine the correlation of various data sources and analyze in depth the stability and reliability of products, processes, quality, equipments, and materials to improve the quality of products and processes, enhance yield rates, and strengthen the competitively of the industry effectively.

Intelligent Analysis in One Go

With MIAS System, users can easily retrieve data needed. Wherever a problem is spotted, analyses of all kinds can be carried out easily to complete the whole analytical process in one go. The system reduces time wasted on data integrate, giving more time and effort on problem solving and in-depth analysis.

An Integrated Analytical Tool Designed Specifically for Big Data- Machine Learning/AI

Analytical tools and statistical methodologies adopted are different in respond to the characteristics of big data and data from different data sources. Therefore, MIAS Platform provides not only common data processing and chart tools, but also tools for machine learning and AI deep learning. with professional tools for massive data and various problems, users can choose the right tool for the job.

Easy-to-Use Intelligent Analysis

In order to give users a seamless experience with professional analytical tools, MIAS System provides one-stop analysis for common scenarios and themes. Advanced deep analysis can be carried out with just a few simple steps. MIAS System also provides intelligent data analysis. Based on the characteristics of data entered by users, the system assists users in choosing the most suitable analytical tool. No more headaches about which analytical tools to use on what data.

Smart Query Tool, Infinitely Expanding Analysis Scope

The Smart Query Tool on MIAS Platform allows administrators to create new query interface on their own through XML setting. Users can integrate such function into the original automated analytical process, infinitely expanding the scope and depth of analysis.

Plug-In Tool, Flexibly Expanding Owned Intelligent Analysis Methods

In addition to horizontally expanding data, MIAS Platform provides flexible Plug-In Tool for administrators to add analytical methods developed by themselves to the platform for selection. What’s even better is that the expanded analytical methods can also be applied and integrated into MIAS analytical process, forming part of the automated report analysis.

Predictive Monitoring- Automatic Prediction & Warning

With big-data analytical methodologies and the machine learning/AI tools on MIAS Platform, correlation in processes can be easily identified for prediction modeling for early-warning monitoring. For instance, if a yield prediction model is established in the front end of the process, that part of the process can be monitoring for yield losses, realizing active precautionary measures and risk management.

Radar Lock-On- Anomaly Locating and Search

If there is an anomaly or complaint, with MIAS intelligent analytical tools that fully utilized the machine learning technologies, all potential factors can be scanned globally and the root cause of the anomaly can be identified rapidly. For instance, if defect losses are found in the back end of the process, users can retrieve all machine parameters and setting conditions of the front end and identify critical potential factors and abnormal conditions among hundreds of factors through machine learning tools.

Active Defense Net- Anomaly Monitoring & Diagnostic Tracking

Engineers can turn the know-how and experience from facilities into defense nets to defect anomalies automatically through MIAS Platform. The platform enables a variety of analyses such as regular monitoring, anomaly detection, root cause diagnostics, anomaly tracking, etc. Users can complete a comprehensive analysis on the same platform without going to other systems. The system automatically links clues and data and produces a comprehensive automated analysis report. For instance, with MIAS multivariate analysis, monitoring and early warning of health index of parameters can be performed. In the case of early warning, MIAS also detects and classifies anomalies, classifying possible scope where anomalies occur from hundreds of machine parameters and speeding up the process of locating and follow-up analysis for engineers.

MIAS Platform

Hadoop Cluster Network Topology