Sensors and Machine Learning - s3. Mosquito : MQTT • HTTPS • Apache Kafka Intelligent...
Transcript of Sensors and Machine Learning - s3. Mosquito : MQTT • HTTPS • Apache Kafka Intelligent...
Sensors and Machine Learning Machine Learning in Oil & Gas Conference, 2017
Abhilash Iyer
SAAPE Designs confidentiality Notice: All slides in this presentation are only intended to the person or entity to which it is addressed and any reproduction of the information should be after the approval from the author.
• Based in Houston, TX
• Focus: Provide an end to end Internet of Things solution Industrial IoT in Oil & Gas Transportation Industry Consumer Health & Well Being
Agenda
• Full cycle IoT
• State of the Art Sensors – Temperature and Humidity Prototypes
– Thin Flexible sensor Prototypes
– Gas Sensor Integration
• Machine Learning
• Conclusion
IOT Ecosystem
Data Infrastructure
Analytics
Full cycle IoT is at the intersection of Embedded Systems, Data Integration and Machine Learning to build a sustainable solution for the user to enable Analytics
System is designed such that a complete Machine to Machine Communication is established avoiding any human intervention
Internet of Things
Hardware
Temperature Range -10C to 50C
Temperature Accuracy +/- 0.5 C (15C to 40C)
Humidity Range 0 to 100 % RH
Humidity Accuracy +/-3.5% rH (20 to 80 rH)
Intelligent Temperature and Humidity Tracker (ITHT)
Intelligent Temperature and Humidity Tracker
Features: • Wireless Temperature and Humidity sensing • Portable and compatible with main lines • WiFi 2.4GHz, Bluetooth Low Energy compatible • Data encryption enabled
Flexible Temperature and Humidity Patch
Features: • Wireless Temperature and Humidity sensing • Portable and compatible with main lines • Communication system : WiFi 2.4GHz, BLE compatible • Data encryption enabled
Temperature Range -10C to 80C and above (Under Testing)
Temperature Accuracy +/- 0.5 C (15C to 40C)
Humidity Range 0 to 100 % RH
Humidity Accuracy +/-3.5% rH (20 to 80 rH)
Thin Packaged Flexible Patch with in built power source
6 cm
4 cm
Thickness: Less than 1 mm
Firmware Design
• Deep-sleep • Data publishing frequency
control • In situ Processing
Ultra Low Power Optimization Protocol Compatibility
Data Encryption: • SSL • Encrypted Tunnel • Over the Air upgrade
Data Security
IOT System
Cloud server
Private secure server
• Temperature • Humidity • Power performance data • Signal strength
Data
Real-time Visualization & Feedback System
Gateway
If (anomalies):
Corrective Action
IOT: Communication Protocol
TCP/IP Stack
Protocol compatibility at Firmware
• Mosquito : MQTT
• HTTPS
• Apache Kafka Intelligent Temperature and Humidity Tracker
Gateway
Analytics Platform
• GE Predix
• SAP Hana
• Custom Predictive Analytics Libraries
MQTT/ HTTPS
Private Server
Use Case 1: Equipment room Monitoring
Temperature Humidity Signal Strength
6am to 6pm – 34C AC and Fan was on 6pm to 6am – 40C when AC is turned off T Average signal strength: -49 dB
Working hours
Stable Connection
Gas Sensors
Location Monitoring
Strain Gauge Sensors
Platform
Flexible sensor platform : Integrating additional sensors
according to user’s need
Monitor and feature extraction: • Pipelines • Industrial plants • Transportation • Packaging • Health • QHSE
Applications
Integration
Gas Sensors
Concentration rise when Isopropyl alcohol is sprayed in the environment
Gas Sensors, SPEC sensors
Ethanol Sensor
Ozone Sensor
Nitrogen Dioxide
Sulphur Dioxide
Indoor Air Quality
Hydrogen Sulphide
Respiratory Irritants
Methane Sensor
High Scalable Alternative: Apache Kafka
High velocity and High volume data – seamless data transfer from hardware to software
Gas sensors
Temp & Humidity
sensor
Strain Sensor
Vibration Sensor
IoT Gateway
Real-time Analytics
Batch Processing
Corrosion Sensor
Multi Sensor Measurement
Cameras
Data
Temperature & Humidity Data
Signal Strength
Battery Level
Sensor 1 Sensor 2 Sensor 3
Decrease in battery level: Notifying the system that I am Dying in 5 hrs.
Data f(x)
- Anomaly Detected
Anomaly Detection & Prediction
Machine Learning
• Hierarchical Temporal Mapping (HTM)
• Etsy Skyline Algorithm • Twitter Anomaly Detection
Benchmarking Algorithms
Summary
• Saape is involved in integrating hardware, data infrastructure, machine learning to create a full-cycle IoT solution.
– Simple feasible temperature sensor with seamless data transfer
– Platform for wide array sensor network
– Integration with consumer’s existing sensor network
• Looking for customers and collaborations to develop and provide solutions
Thank You
Abhilash Iyer
Mob: 848-219-3461
SAAPE Designs confidentiality Notice: All slides in this presentation are only intended to the person or entity to which it is addressed and any reproduction of the information should be after the approval from the author.