Arrow IoT Overview. Marco Sangalli IoT Business Development Manager Southern Europe

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1 Arrow IoT Overview Marco Sangalli IoT Business Development Manager Southern Europe

2 Arrow Our strategic roadmap includes advancing our leadership in IoT and providing the engineering services and support that are integral for our customers to bring new, compelling products and services rapidly to the market Mike Long President, CEO, Chairman Arrow Electronics Fortune 500 Ranked 118 Customers 125,000 Employees 20,000 Founded 1935 Locations 460 in 85 countries Headquarters Centennial, CO 2017 Sales $26.8B Ticker Symbol ARW (NYSE) 2

3 Arrow IoT Mission To offer a complete solution enabling businesses to deploy, manage, monitor, analyze and monetize secure connected devices throughout their entire lifecycle globally. From Sensor to Sunset TM 3

4 Sensor to Sunset TM

com Arrow Electronics partners with IBM to grow IoT business in APAC Newly Launched Arrow Open Lab at Science Park Drives the Pursuit of

5 DSEDP selected Arrow as lead IoT Technology Advisor for Colorado Smart Cities Alliance IoT 2017 Sales $1.1 Billion Arrow ranked 7 th in Top IoT Implementers Classification by PYMNTS.com Arrow Electronics partners with IBM to grow IoT business in APAC Newly Launched Arrow Open Lab at Science Park Drives the Pursuit of Innovation in Hong Kong. Arrow Electronics' IoT Program Demonstrates Distributors' Value in the 3rd Platform, Arrow introduces single billing service to reduce IoT complexity Arrow introduces services to monitor and manage connected devices 5

6 Success Story 6

7 Smart Farming Solutions Framework TEST S.p.A. UDINE - ITALY

8 Smart Farming Solutions Framework direct and general benefits FARMERS Crop yield optimization Better use and management of farming equipment Increased competitiveness Certainty in experimentation bases Useful information and resources can be shared among companies in the same supply chain Farmers will change farming practices and expand their vision CONSUMER More information for consumers Complete product traceability for food safety Increased protection against product counterfeit PRODUCTS Quality improvement through the usage of Machine Learning to support decisions. Fertilizer usage reduction Product waste reduction Overall costs reduction POLICY MAKERS Enhancement of Regional Agri-food Systems

9 Smart Farming Solutions Framework (SF2) Overview SF2 is a unique set of components for the development of End to End solutions for the Smart Farming Sector Is designed for a broad target market and, for large projects, promotes an adaptive co-design approach that allows incremental development of functionalities based on customer priorities wide

10 Framework modules (planned) Field Soil & Environm ent Plant Field Equipm ent Product processing Product processing and tracking Process equipment Product Distributio n Consumer experience Quality and Customer satisfaction Telemetry and basic monitoring Analysis Machine learning and predictive analysis External systems integration Business elements management

11 Broad target market Vineyards and Olive Groves Traditional local productions la Piantata Modern Vertical indoor farming Comitato Provinciale UNPLI Treviso AeroFarms

12 7 Sites (in Italy and abroad) 29 Years of experience 360 Employees >120 Customers

Euris / TEST companies and Bos1 Business Unit BOS1 is a Vertical Business Unit of Euris Group that is focused on Industry 4.

0 360-degree view of customers digital transformation processes, from the analysis and reengineering of production

open approach that adapts the model to the Customer s context, guaranteeing continuity in the choices and existing

Top solutions Partnership with top market players for specialistic solutions, suitable to address specific problems for

13 Euris / TEST companies and Bos1 Business Unit BOS1 is a Vertical Business Unit of Euris Group that is focused on Industry 4.0 and IoT Projects INDUSTRY degree view of customers digital transformation processes, from the analysis and reengineering of production processes to the implementation of solutions (HW / SW), centered on a logical, flexible and integrated model Adaptition An open approach that adapts the model to the Customer s context, guaranteeing continuity in the choices and existing alliances, while bringing a technicalfunctional evolution. Top solutions Partnership with top market players for specialistic solutions, suitable to address specific problems for each phase of the process, for each component of the model, with a winning time-to-market. No lock-in Open Model without any lock-in to particular vendors for the Customer, guaranteed by the use of a "white box" approach, based on a modular and cloud-ready architecture and open source technologies.

14 Framework architecture

15 Smart Farming Solutions Framework Architectural overview Multi-tenant Architecture Truly distributed application based on Microservices Architecture for an effective handling of complexity and to ease scalability Edge intelligence for a better device management and a simple reuse of cloud components and functionalities Cloud services based on ruling Cloud Platforms

16 Multitenancy

17 Microservices architecture Separate components Increased availability Technology stack independence Easy to understand in distributed environments Organized around business capabilities Reusability Easy to deploy API Gateway... Management Service1 Service2 Service3 Database service Remote service

18 S4 S3 S4 S3 S2 S4 S3 S1 S2 Distributed solution SF2 favors the development of distributed solutions leveraging on existing Cloud services.

19 Data flow overview

20 Field level data flow overview W/m 2 Cloud Data ingestion and storage Stream Analysis Cognitive Services Machine Learning Business Intelligence % % % ph Field (sensors) Continuous Data Collection Field (Sensor Nodes) Distributed, autonomous and radio connected Edge (Gateway) Data collection from Sensor Nodes Edge analytics and real-time decisions Devices Management Offline operations management Multiplexing and security Bandwidth optimization

21 Field level data flow details W/m 2 Cloud Data ingestion and storage Stream Analysis Cognitive Services Machine Learning Business Intelligence % % % ph

22 Field level communications GPS GPS GPS GPS IoT Hub (ingestion and command exec.) Authentication: MQTT CONNECT packet... Encription:... IP filtering: y Certificates: y (x509) LTE Cat 1 Ethernet / LTE Wi-Fi BT Zigbee LoRa Wi-Fi Gateway ZigBee / BLE LTE WiFi IP 65 Automotive cert. Operational Shock: 30 G (?) Operational Vibration: 3 Grms (?) Wide Temp: -30 C +70 C Offline Storage: 2 MB / Day Encription: AES 128b Authentication:? Sensor node LoRa (xbee, ) Rechargable Battery Solar Panel IP67 Shock protection Wide Temp: -30 C +70 C Offline Storage: 0,5-1 MB / Day Encription: AES 128b Authentication:? Gateway Ethernet LTE LoRa (AES 128b) Net Server... WiFi Offline Storage: MB / Day Encription: AES 128b Authentication:? Farming

Edge intelligence and real time data collection Sensor Nodes are distributed

Edge Gateways Edge Gateways normalize data and send them to Cloud ingestion

they offer a fully managed service that delivers cloud intelligence locally.

23 Edge intelligence and real time data collection Sensor Nodes are distributed on land lots Sensor Nodes continuously collect field data which are sent to Edge Gateways Edge Gateways normalize data and send them to Cloud ingestion services Edge gateways can operate with intermittent Internet connections and they offer a fully managed service that delivers cloud intelligence locally. They can seamlessly run artificial intelligence, cloud services, and custom logic.

24 Field Field level Things (Land parcels, Line Production stations, ) Sensors/ actuators Sensor Nodes, PLCs, Sensor Enclosures, Operational Technology Gateways XYZ vineyard ABC vineyard Wireless sensor node + LoRa Land % ph Production line ABC PLC Siemens Modbus Product transformation Station 1 CO CT RS 232 OPC-UA Node OPC-UA Node PLC Siemens o Omron OPC- UA Server Shop Floor LAN Station 2 OPC-UA Node Arduino OPC- UA Server

25 Edge Edge level Intelligent Edge On premises data center Xbee LoRa wan + BT LE 4G Command Control Land Meshlium Gateway (Libelium) Local storage Wi-Fi Shop Floor LAN Azure IoT Edge Product transformation Protocol and identity translation Module inst. Module Modbus... OPC-UA Publisher Module OPC-UA Client Module inst. Telemetry Module inst. Azure Stream Analytics Service Module inst. Serverless code (Azure Functions Service) IoT Edge Runtime OPC-UA Proxy Module inst. Azure Machine Learning Service Local storage Module IoT Hub Module Modules insight Web-app On premises Databases Connection node Logical device connection multiplexing Eg: Gateway decisions and process equipment data OPC-UA Server MES - Production line Conversational Interface (OPC UA Client) MES

26 Cloud level Cloud services Ingestion Monitoring Storage BI and Analytics Management/ Control/... Command Control AD IoT Hub Streaming dataset Power BI App Service Monitoring at different levels: Factories, Assembly lines, Stations, OPC UA servers, OEE, KPI, MES - assembly line interface. (POWER-BI) Logical device connection multiplexing Device management IoT devices + Edge Devices Device twins registry DEV01 + links ai Modules + Routes DEV02 + links ai Modules + Routes sync Telemetry data Application Data Machine Learning Workspace App Service App Service User Control: Applications for the following roles: research and development, manufacturing, logistics, after-sale service Fluid interfaces Responsive environments Machine Learning Managing: Factories, Assembly lines, Stations, OPC UA servers Data factory App Service Proprietary cloud services (Energy consumption, agriculture smart equipment platforms, )

27 Cloud level data ingestion monitoring

28 Business analytics functions

29 From telemetry to relevant land events

30 Farm assets - Land lots, soil and harvest data Bos1 Smart Farming Solutions Framework allows effective management of farm assets, of their characteristics and performances

31 Alarms and stress events management Different types of stress (temperature stress, hydro stress, ) can be detected in single land parcels. History of stress events and results of corrective actions can be analyzed.

32 Harvest forecasting and harvest calendar by land parcel

33 Stress events

34 Equipment management

35 Mobile application field Data Collection and Inspection

36 Contacts TEST S.p.A. Viale Robert Schumann, UDINE - ITALY luisa.benvenuto@testspa.com gianpaolo.propedo@bos1.eu

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

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