Sensor networks. Ericsson

Transcription

1 Sensor networks Ericsson

2 NETWORKS Media IT Industries Page 2

3 Ericsson at a glance Organization & employees CEO Börje Ekholm Technology & Emerging Business Finance & Common Functions Marketing & Communications Sustainability & CR Human Resources Legal Affairs North East Asia 13,0 Business Area Networks Business Area Digital Services Business Area Managed Services Media Page 3 Market Areas North America Europe and Latin America Middle East and Africa North East Asia South East Asia, Oceania and India 222,6 180 B. SEK Net Sales Countries with customers Customer Units 111,000 Employees worldwide 11,5 North America 54,8 Europe & Latin America 5,4 26,5 Middle East & Africa 62,400 Service professionals South East Asia, Oceania & India 24,100 R&D employees *2016 full year figures

4 5G IOT CLOUD INSTALLATION TRANSFORMATION AT AN INFLECTION POINT THE 5 TH TECHNOLOGICAL REVOLUTION Page 4

5 BILLIONS OF CONNECTED DEVICES Page 5 43% ENTERPRISES ADOPTING IoT $7.1T GLOBAL IoT REVENUE $11T GLOBAL IoT ECONOMIC IMPACT

6 IoT Solutions for business critical services Industry specific solutions One Stack: for telecom & selected industries Business model: SaaS Deployment model: Multi-cloud: Public* and on premises NETWORK CONNECTIVITY ERICSSON IOT ACCELERATOR MARKETPLACE & ECOSYSTEM ENABLEMENT ORCHESTRATION, INTEGRATION & AUTOMATION DEVICE & DATA MANAGEMENT CONNECTIVITY MANAGEMENT CLOUD On Premise Private Public* Cellular IoT Non Cellular IoT 5G-Core Ready Professional Services DEVICES SDK integration * First release based on Microsoft Azure Page 6

7 IoT Case Studies Page 7

8 Connected Urban transport Air Quality monitoring Real time rain detection Water Monitoring networks Page 8

9 CONNECTED PUBLIC TRANSPORT CONNECTED SIGNALS CONNECTED SURVEILLANCE Connected Urban Transport CONNECTED CARS Page 9

10 SENSOR NETWORK CITY REFERENCE STATIONS CLOUD NETWORK WITH ANALYTICS AND SELF CALIBRATING CAPABILITIES Air Quality monitoring Page 10 PROJECT PARTNERS:

11 Use deep learning algorithms to automatically detect and classify anomalies in large microwave networks NORMAL RAIN Real time rain detection Page 11 PROJECT PARTNERS:

12 SPATIAL COVERAGE RADAR MICROWAVE Page 12 Radar & Weather station coverage Microwave Link coverage Radar Microwave links Temporal resolution 15-min 1-min Spatial resolution 4 km km 2 Vertical sampling 1.2 km 25 m

13 SOURCE WATER MONITORING (PHASE A) Sensors deployed in water sources monitoring changes to water composition to detect pollution in lakes & rivers. 360 WATER MANAGEMENT FROM SOURCE TO SOURCE DISTRIBUTION NETWORK MONITORING (PHASE B) Sensors deployed in fresh water distribution network monitoring proxies for bacteria contamination. SEWAGE WATER MONITORING (PHASE C) Monitoring quality of storm water to detect industry and other pollution that may be discharged into the recipient. Water Monitoring networks Page 13

14 What are we doing? Architecture & Differentiation Sensors Network Ericsson IoT Accelerator Data visualization DEVICE DATA RULES RAW DATA MEASUREMENTS DATA CONNECTIVITY MANAGEMENT COLLECTION & MANAGEMENT USER INTERFACE ANALYTICS & TRIGGERS Basic parameters Easy to deploy Low cost Low OPEX Mobile connectivity LTE, NB-IoT, 5G Device handling, user management & cloud storage Data analytics to analyze sensor raw data Find proxy s for basic water parameters Predictability and trigger functions Serve city and utility needs Early warning triggers and pollution detection & monitoring functions Analytics and algorithms to interpret raw sensor data. Find proxies for pollution and contamination of water. End users to be able to predict pollution and follow pollution streams in source water, distribution system and sewage. PROJECT PARTNERS: Page 14

15 challenges COMPLICATE DEPLOYMENTS Page 15 IMMATURE SENSOR MARKET OPERATIONAL COSTS TOO HIGH COMPLICATE INTEGRATION

16 Integration Sensor networks working together Analyze weather, traffic and environmental information from sensors Automatic controls based on triggers Take informative decisions: Traffic planning and situations Urban planning Environmental risks mitigation Catastrophe mitigation Page 16

17 % Smart transport Smart buildings Smart travel Smart work Smart agriculture and land use Smart services / smart industry Smart grid (incl. smart homes) REDUCTION IN GLOBAL GHG EMISSIONS FROM ICT BY 2030 Page 17

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