Lafayette Engagement and Research Network (LEaRN)

Similar documents
The Next Level Industrial Revolution. Top 10 Business Opportunities in Manufacturing IoT

Others in Attendance Amanda Graor, MARC Tom Jacobs, MARC Doug Norsby, MARC Ron Achelpohl, MARC Phil Wright, Foley Power Solutions

Edge Analytics for IoT Device Intelligence

DLT AnalyticsStack. Powering big data, analytics and data science strategies for government agencies

Open Source in IoT Architecture

Industrial. Grundfos use case om Industry 4.0 Big Data cloud arkitektur for IIoT, predictive analytics og Rigtig Industry 4.0

Bluemix Overview. Last Updated: October 10th, 2017

KRnet. IoT Cloud Ecosystem. KangYoon Lee, Korea Lab Director IoT Korea Lab 2014 IBM Corporation

Smart Cities Brief. Amazon Web Services. July 2016

Integration Summit. Ulf Domanders, Michael Asplund. November th 2017

Making Realtime Reporting a Reality

CORVINA CORE VALUE INSURANCE ADMINISTRATION. Start Your Vision

TECHED USER CONFERENCE MAY 3-4, 2016

2 Speed IT in Education. Powered by Microsoft Cloud (and Minecraft)

INTRODUCTION TO THINGWORX. Petr Holy Head of Sales Eastern Europe. February 2 nd, 2016

Accelerating High Performance Production

Development Track Program Guide

VDMA Bayern I4.0 Projekt. Nürnberg Unrestricted Siemens AG 2017 Page 1. A. v. Paumgartten Partner Manager Siemens

The four steps of Digital Transformation. Andrew Smith General Manager, Sales Strategy & Operations IoT Device Partners, Microsoft

Connected Vehicles Accelerator

Connecting Space and Time

Lesson 3 Cloud Platform as a Service usages for accelerated Design and Deployment of IoTs

Secure information access is critical & more complex than ever

Maturing IoT solutions with Microsoft Azure

Course Content. The main purpose of the course is to give students the ability plan and implement big data workflows on HDInsight.

Cloudera Data Science and Machine Learning. Robin Harrison, Account Executive David Kemp, Systems Engineer. Cloudera, Inc. All rights reserved.

20775A: Performing Data Engineering on Microsoft HD Insight

Azure PaaS and SaaS Microsoft s two approaches to building IoT solutions

Update on SAP Leonardo IoT. 8 th June 2017

Agenda. Next Steps Impact of the IoT. Microsoft Azure. IoT in PLM. IoT in Aras Innovator

Benefits of the Instaclustr Managed Platform

20775 Performing Data Engineering on Microsoft HD Insight

Hsinchu City to Roll Out Smart City Acceleration Program with Asus OmniThings Cloud

Copyright 2012 EMC Corporation. All rights reserved.

Connecticut s Open Data Initiative

Accelerating Innovation in the Industrial Internet of Things

20775: Performing Data Engineering on Microsoft HD Insight

DATASHEET. Tarams Business Intelligence. Services Data sheet

This document (including, without limitation, any product roadmap or statement of direction data) illustrates the planned testing, release and

High Level Considerations

Business is being transformed by three trends

Gain Insights. Control Anything. Take Action. Connect Things. 10% of the data on earth will come from IoT by B connected devices by 2020

ADVANCED ANALYTICS & IOT ARCHITECTURES

Industrial Connected Product Solutions

Cisco Solution Support for Apple

Converging Policies, Practices and Processes through Public Private Partnership Hinnerk Gildhoff, SAP HANA Spatial Lead, SAP 25 th May 2015.

IoT Monitoring Solution MONITORING SOLUTION. Delivering on the promise of IoT Faster. April 2018

20775A: Performing Data Engineering on Microsoft HD Insight

Deploying Microservices and Containers with Azure Container Service and DC/OS

Transforming IIoT Data into Opportunity with Data Torrent using Apache Apex

Symphony IoT. Solar Farm Manager. Product Brief


Powering the Edge to the Enterprise

Making the correct Application Enablement Platform decision

Azure IoT Suite. Secure device connectivity and management. Data ingestion and command + control. Rich dashboards and visualizations

What s new on Azure? Jan Willem Groenenberg

Architecting Microsoft Azure Solutions

Copyright 2013, Oracle and/or its affiliates. All rights reserved.

IOT ACCELERATOR EMPOWERING DIGITAL TRANSFORMATION OF ENERGY INDUSTRIES. Régis Hourdouillie, GLOBAl head of smart grid

Industrial IoT Solution Architecture Design From Connectivity to Data

Connecting Space and Time

AWS Smart Cities and

Course 20535A: Architecting Microsoft Azure Solutions

Build a Future-Ready Enterprise With NTT DATA Modernization Services

Control Anything. Gain Insights. Connect Things. Action. 10% of the data on earth will come from IoT by B connected devices by 2020

State and Local Governments

Learning and Knowledge enabling the magnet for talent

The Future of IoT. Don DeLoach Co-Chair, Midwest IoT Council

Hortonworks Connected Data Platforms

HPE Flexible Capacity with Microsoft Azure & Azure Stack

Cloud Customer Architecture for API Management.

Microsoft Azure Essentials

Trends in API Management

BIG DATA & ADVANCED ANALYTICS ROADSHOW

The IoT Solutions Space: Edge-Computing IoT architecture, the FAR EDGE Project John Professor Athens Information

Digital Markham Strategy. PRESENTATION TO GENERAL COMMITTEE Jan. 16, 2017

Lighting. FiveYearsOut.com

IBM Message Hub. James Bennett Offering Manager, IBM Cloud Integration IBM Corporation

Features Benefits. Why Claro Enterprise Solutions. Product Description. Geo-fencing and real-time tracking via Google maps

SFS 2.0 IN ACTION DIGITAL EXCELLENCE

GIS Deployment at DeepWater Horizon. Lessons Learned 2010

PLATFORM CAPABILITIES OF THE DIGITAL BUSINESS PLATFORM

Getting Started with Amazon QuickSight

EXPERIENCE EVERYTHING

ArcGIS for Emergency Management-

Think Connected. Modern IoT Solutions with Microsoft Azure. Mihail Mateev, Solutions Architect, Technical PM and Senior Technical Strypes

AGM Presentation 10 NOVEMBER 2017

OS A superior platform for business. Operate seamlessly, automatically, and intelligently anywhere in the world

Altair s IoT Vision. Satish.K Director Enterprise Computing APAC & GCC Markets 15 th September 2017

Microsoft Azure Architect Design (AZ301)

M2M CONNECTIVITY PLATFORMS FOR ENTERPRISE BUSINESSES. White Paper

EMC CLOUD ADVISORY SERVICE

Our Ecosystem. GE Digital ONE PROGRAM. COUNTLESS OPPORTUNITIES.

The Platform for the. Smart Era. Knowing is not enough. It s the Smart Era a time for digital systems to be as dynamic as your business.

IBM Global Business Services Driving the next generation of digital government

The Open IoT Stack: Architecture and Use Cases

BIG DATA PROCESSING A DEEP DIVE IN HADOOP/SPARK & AZURE SQL DW

Architecting Microsoft Azure Solutions

Siemens. MindSphere. The cloud-based, open IoT operating system.

The cloud-based, open IoT operating system

Transcription:

Lafayette Engagement and Research Network (LEaRN)

Topics for Discussion LEaRN Collaborative Introductions Project Overview Status Update Topics: Sensor Platforms Deployment Strategy Data Management Outreach/Community Engagement 2

EPA Smart City Air Solution Summary 3

Guiding Principles from the Challenge Deploy 250 to 500 sensors in a community: Communities must describe procure and deploy 250 to 500 air quality sensors. Community involvement in purchasing and using the sensors: The community and its residents will provide funds for the sensors in order to ensure citizen engagement and better data quality. Identification of partners and project sustainability: EPA will provide prizes to the winning communities. The community and its residents will provide funds and establish partnerships to implement the strategy. Be transparent in terms of making the data open and describing the data management plans: The data from the sensors will be available for free and in machine-readable form. The data management plan describes how data will be managed in all parts of the information life cycle. 4

Objectives and Expected Benefits Identifying best practices for managing big data within our community as we implement a comprehensive plan for growth in the Acadiana region. Learn how Lafayette will manage large volumes of Smart City data, including environmental, transportation and other sources Learn how to best engage citizens in collecting, understanding and using data within their community increased civic engagement How can we use data from many sensors to better understand environmental condition and its relationship to human health Provide other cities, businesses, citizens and EPA with real-world lessons about data management through agile and experimental design 5

The LEaRN Collaborative 6

LEaRN Collaborative: Advisory Board Providing subject matter expertise, best practices and project guidance 7

LEaRN Collaborative: Lafayette Consolidated Government Commitment Infrastructure for sensor deployment across community Establish an Open Data Portal via existing Esri Enterprise License Will utilize effort to inform & launch an Open Data Policy for LCG LUS Fiber for Gigabit App connectivity for Sensor Network Expertise and Resources Has implemented IoT sensors for traffic congestion; will be cross referenced with air quality data The Lafayette Comprehensive Plan sets forth objectives that lessons learned around Smart Cities will inform and accelerate LUS Fiber accelerates deployment 8

LEaRN Collaborative: UL Lafayette Commitment Incorporating LEaRN projects into School of Engineering, School of Geosciences and School of Computing and Informatics Professors and students will assist in sensor development, calibration, O&M, outreach LITE Center for Sensor and Network Gateway Expertise and Resources UL specialization in IoT/Big Data NSF funded data analytics and research center US Ignite Community partner UL Researchers focused on Air Quality studies for sensor deployment 9

LEaRN Collaborative: CGI Commitment Supplemental funding for up to 400 sensors IoT data management solution Technical data management and system integration consulting Assistance in community outreach Support for Open Data Portal Expertise and Resources Global IT solutions provider with proven experience in Smart Cities, IoT and complex data management Existing partner with Lafayette with over 350 members in community More than 35 years of mission support state, local and federal environmental customers 10

Technical Solution Summary 11

StormNet Solution Overview Cloud based Industry standard big data platforms Event Hub and Apache Storm Real-time capture and processing Cassandra persistent secondary storage Azure Machine Learning Quickly adopted to capture and display any number of predictions NodeJS/Express Communication between multiple components API-based live streaming data dashboard - Leaflet/Bootstrap/ HighCharts Real-time Data Azure Service Bus Event Hub Anomalies Real-time Data Storage REST API Endpoint Communication Prediction Results Prediction Real-time 12

Sample: Real-time Data Visualization in Browser Demonstration of sample data visualization 13

Status Update Report 14

Sensor Platform

Deployment Strategy 16

Data Management Data Management / API Strategy and API Strategy 17

Data Management and API Strategy OGC SensorThings API Strategy and Update Azure Cloud Hosting Status Open Source License Open Data Portal 18

Community Engagement Activities Educational sessions with LPSS students from K-12 to engage in LEaRN Collaborative activities related to Air Quality Educational/outreach sessions with general public hosted across the library network. University and Community College: Student engagement activities on project topics such as sensor assembly, software/application development, data visualization and citizen science Social Media via Twitter, Facebook and Instagram 19