Simplify Your IoT Deployment from Edge-to-Cloud Edwin. Teo, Sales - PowerPoint PPT Presentation

Simplify Your IoT Deployment from Edge-to-Cloud Edwin. Teo, Sales Manager, Advantech Singapore Alan. Kao, Product Manager, Advantech

IoT Projects Implementation Viewpoints IoT = Digital Disruption Owner Business  Better decision-making View  Key Drivers : Competition / Technology Define the Products & Features, IoT system must deliver Functional Users  Requirements : Feature/ Business/ Service/ System design View  Data & Device Management  Reports & Dashboard How to Architect the IoT Infrastructure & Software Architect Technical  Local Dashboard  IoT Devices & Protocols View  Event Processing  Security Define the work required for IoT Implementation Implementation S.I.  IT & OT conflicts  Roles & Responsibilities View  Mindset changes  Define measureable objectives and results

IoT Implementation Challenges Pu Publi lic Pr Priva ivate #1 Diver Div erse Pr se Prot otoc ocol ol In Inte tegration tion  Too many Industries and sub-profiles  Existing & new machines #2 Lack of IoT IoT De Develop lopme ment t Teams ms  IT vs OT concerns and co-ordination  Lack of necessary skills & Resource Ed Edge Int Intell llige igence #3 Sec Secur urity ity Con Conce cerns ns Servers Se (IoT IoT Ga Gateways)  Business confidentiality  Increase network nodes #4 IoT IoT In Investmen estment t Costs Costs Justifica ustification tions  ROI  Analytical Tools to use  Scalability & Security for data  Support Model Sensors & A & Actuators

Edge ge In Intelligen elligence ce & Da Data ta Serv rvice ice Serv rvers ers Simplify IoT Deployment from Edge to Cloud

EIS-D620 System Diagram Cloud Edge Software Package Rockchip RK3399, Quad-core ARM Cortex-A53, 64-bit CPU Hardware Wireless network : WiFi/ 4G

Appli lication cation Scen enar ario io CNC/ Controller Sensor Smart Machine (OPC-UA) (Mod Bus) Building • Collect simple data from sensors, equipment and devices • Simple Data preprocess and Internet/Intranet connectivity for legacy devices • Connect to cloud/backend for data visualization or analysis

Case Study : Automatic PCB Baking Process and Intelligent Asset Management • Replaces traditional manual practices in the PCB baking process with automatic control and monitoring , improving productivity and yield rate. • Produces digital records for users to keep track of the operational status of the baking ovens and also establish production information traceability for future lookups. • Enables cross-platform integration with the customers other information systems, such as MES, so as to optimize workflow to higher efficiency.

Data ta Service vice Server ver Scalable Data Management Platform for Private Cloud Solution  Lightweight  Developer Friendly  Easy to Deploy

Softw ftware are Stack ack Platform Management Applications Message Broker Data Visualization & Monitoring • • Grafana allows you to query, visualize, Lightweight and easy to deploy on alert on and understand your metrics. premises and in the cloud. It supports • Prometheus is an open-source software multiple messaging protocols.. application used for event monitoring and alerting. Backend Management Applications Management • Deployment, scaling, and • management of containerized Kubeapps is a web-based UI for applications. deploying and managing applications in • Ceph stores data as objects within Kubernetes clusters. • logical storage pools. The algorithm The Docker Registry is a stateless, highly enables the Ceph Storage Cluster to scalable server side application that scale, rebalance, and recover stores and lets you distribute Docker dynamically. images. • ChartMuseum is an Helm Chart Repository server written in Golang. It Database Management provides an API for uploading charts. • A powerful, open source object- relational database system. Machine Learning • MongoDB is a document database, • Making deployments of machine which means it stores data in JSON- learning (ML) workflows on Kubernetes like documents. Device Management

Appli lication cation Scen enar ario io Equipment Optimizes Energy-efficient Smart Management Manufacturing Building Retail • On premise IoT solution adopting Advantech SRP • Local cluster platform • Typical Kubernetes solution with specific HW and expansion ready solution • Require AI with ML/DL in next step

Case Study I: Remote Monitoring System Optimizes IC Testing Workflow Efficiency and Productivity • Enhances equipment management , optimizes the IC test process, and improves overall productivity and efficiency. • The implementation of remote monitoring and software updates via OTA technology reduces the workload of the IC testing department. • Industrial -grade computers provide higher robustness and reliability on the production line environment

Eq Equipm uipment ent to to Intell ntelligence igence (E2 E2I) ) I.A .APP PP Enabling Effective Equipment Management and Productivity Intelligent Building Industrial Equipment Manufacturing Semiconductor Energy Management Operation Efficiency Easy Integration Platform Equipment working status Support multiple-equipment protocol monitoring and management integration and SDK Preventative Maintenance Cloud Ready Solution Auto-alert, history data tracking Support Azure, AWS and K8S and re-action rule engine Microservice structure

E2 E2I.APP I.APP Ar Archi hitect ecture ure IEM Plug-in Manager Event Manager Industrial Equipment APP to Data Intelligence Dashboard Intelligence Generic I.APP & MicroServices Backend Dashboard Database DeviceOn 3 rd Party IoT - PaaS IoT PaaS & - Device Management - IoT Data management - Load balance - Data visualization - Zero Down Time - Auto scaling - Self Healing MicroServices - Alarm & Event - OTA update - Mobile devices support Public Cloud Private Cloud IaaS WISE-Stack Azure Data Service Server Security Event Processing Data Intelligence Edge • • • Plug-in Management Data transfer encryption Rule Engine • • • Data pre-processing User Authentication Alarm Intelligence • • • Zero Down Time Watchdog Action

E2I.APP Functions Highlight Equipment Connectivity • Protocol convertor (Plug-in) Equipment to Intelligence • OPC-UA/ Modbus/ ODBC Industrial APP • Standard Plug-in Editor and deployment Data Visualization • Status overview • Auto-generate dashboard by Equipment • Easy customization and Integration Edge Intelligence • Data pre-processing • Re-action rule engine • Abnormal Notification

E2 E2I.APP I.APP WP WPC Demo o Se Secnar cnario io Public Cloud E2I.APP EIS-S230 Remote Management Customer Solution MQTT APM/OEE/CNC EIS-D620 OPC-UA Proprietary Protocol SMB CNC Controller

Demo QR code

Overall Dashboard

IoT Application Landing Year 2019 Project Discussed : 126 Design-in : 62 NTT, CRRC, Maevi , NTT,… Design-win : 26 Shin-Kong HealthCare, Syntec , Micron, ASE,… Solution Partner & DFSI

Edg dge Co Compu putin ting g and nd In Intel tellig ligenc ence e Solutio utions ns

Co-Creating the Future Co-Creating the Future of the IoT World of the IoT World