IoT is reshaping the manufacturing and industrial processes, effectively changing the paradigm from one of repair and replace to more of predict and prevent. Using data streaming from connected equipment and machinery, organizations can now monitor the health of their assets and effectively predict when and how an asset might fail. However, without the right data management strategy and tools, investments in IoT can yield limited results. Join Cloudera and Tata Consultancy Services (TCS) for a joint webinar to learn more about how organizations are using advanced analytics and machine learning to drive IoT enabled predictive maintenance.
15. 15
SDAF on ClouderaSensors
Grove,Siemens,EMX,Honeywell
Devices Communications Acquire & Analyze Smart Applications
ControllerGateway
Intel(MoonIsland),ARM
Enterprise
Intelligent
Application
Web Portals
Mobile Apps
BI Tools
Protocols
Wi-Fi,BLE,ZigBee,Modbus,NFC,3GPP,LTE
BusLayer
MQTT,CoAP,HTTP,TCP,UDP
Real-time Processing
Acquire
Deep Analytics
Failure Prediction
Anomaly Detection
Time Series Analysis
Real-time AnalyticsParse & Enrich
Cloudera Hadoop Distribution
TCS Sensor Data Analytics IoT Framework (SDAF)Partner Ecosystem
Frequent Pattern Mining
Segmentation
Demand Forecasting
Device Management
Zero Touch Device
Commissioning
Remote
Terminal GUI
Health
Monitoring
Alerts &
Notifications
SDAF
Agent
16. SDAF - Feature Overview
STREAMING
DATA INGESTION
DATA ANALYTICS
DEVICE DATA
ACQUISITION SECURITY
DATA
PROCESSING &
STORAGE
DEVICE
MANAGEMENT
• Zero-touch
Device
Commissioning
• Health
Monitoring
• Remote Terminal
Access
• Software and
Firmware
Upgrades
• Support for
industry standard
protocols
• Data streaming
using CoAP and
MQTT protocols
• QoS support
• Support for protocols
such as Modbus,
Bacnet, Zigbee, BLE,
etc
• High-throughput
framework
• Data Enrichment
• Complex Event
Detection
• Sliding Window
based Correlation
• Real-time Alerts
& Notification
• Data Formatting
& Filtering
• Storage into
HDFS, HBase and
Hive
• Data Governance
and Meta data
Management
• Geo-Fencing and
Geo Spatial
Correlation
• Edge Analytics
• Real-time
analytics on data
streams
• Data Profiling
framework for
time series data
• Scalable Machine
Learning library
for predictive
analytics
• Comprehensive
Edge Security
• Audit Logs
• Role based
Access control on
data
• Kerberos
integration for
authorization
• HDFS Encryption
17. Analytical Models
Warranty Estimation Model
Segmentation Model
Anomaly Detection
• Interesting Pattern Detection
• Peak Detection
• Outlier sub-sequences
• Time series classification
Association/Rule Mining
Telematics Model
Clickstream Analytics and
Recommendation Model
Time Series Analysis
Prediction Model
Failure Probability & Time to Failure
Frequent Pattern Mining and Apriori
• Missing Trip Identification
• Parking Location Identification
• Route Matching
• Acceleration, Braking & Cornering Scoring
• Speeding Score
• Trip Score, Daily Score and Overall Score
• Score Projection
Forecasting