Difference between revisions of "PMQ Architecture"
Eric.liang (talk | contribs) |
Eric.liang (talk | contribs) |
||
Line 20: | Line 20: | ||
== Edge Intelligence PMQ Framework == | == Edge Intelligence PMQ Framework == | ||
− | [[File: | + | Advantech EIS adopts edge computing architecture for its IoT solution as below picture. EIS enables local IoT networks to perform edge intelligence to maximize energy efficiency, reduce privacy threats, promote easy implementation and modularization, and minimize latencies. |
+ | |||
+ | The EIS intelligence facilities also adopt the micro service container to deal with the data ingestion workload such as data pre-processing and cleaning. The most valuable faculty in the EIS software suite is streaming analytics. Advantech provides the IPC device PMQ (Predictive Maintenance and Quality) to prove the concept of prediction in the edge field for real-time analytics and upgrade the analytic module that is also based on the micro service container technology from the cloud service for updating more accuracy analytic purpose. The customer can leverage such a framework to develop their own analytic module or PMQ module with EIS open standard architecture. The entire open standard follows the MQTT protocol and the Docker container technology as its foundation framework. | ||
+ | |||
+ | [[File:Edge PMQ Service Framework.jpg|800x600px|PMQ Service Framework]] | ||
== PMQ Data Format / Event / Action == | == PMQ Data Format / Event / Action == |
Revision as of 04:25, 7 August 2017
Introduction
This page introduces Advantech Predictive Maintenance and Quality ( PMQ ) for failure prediction solution.
Advantech PMQ includes the deployment of the trained model to make predictions and UI visualization and recommendations for corresponding strategies. The objective is to provide software developers basic concepts and better understating of PMQ deployment and to be more effective to bring your predictive model to production with Advantech PMQ architecture.
An overview of Predictive Maintenance and Quality
Why Edge Intelligence
Edge computing is a distributed information technology (IT) architecture in which client data is processed at the periphery of the network, as close to the originating source as possible. Time-sensitive data in edge computing may be processed at the point of origin by an intelligent device or sent to an intermediary server located in close geographical proximity to the client. Data that is less time sensitive is sent to the cloud for historical analysis, big data analytics, and long-term storage.
Advantech PMQ
Advantech PMQ means for Customer
PMQ Architecture & Data Flow
Edge Intelligence PMQ Framework
Advantech EIS adopts edge computing architecture for its IoT solution as below picture. EIS enables local IoT networks to perform edge intelligence to maximize energy efficiency, reduce privacy threats, promote easy implementation and modularization, and minimize latencies.
The EIS intelligence facilities also adopt the micro service container to deal with the data ingestion workload such as data pre-processing and cleaning. The most valuable faculty in the EIS software suite is streaming analytics. Advantech provides the IPC device PMQ (Predictive Maintenance and Quality) to prove the concept of prediction in the edge field for real-time analytics and upgrade the analytic module that is also based on the micro service container technology from the cloud service for updating more accuracy analytic purpose. The customer can leverage such a framework to develop their own analytic module or PMQ module with EIS open standard architecture. The entire open standard follows the MQTT protocol and the Docker container technology as its foundation framework.