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

ai@saapedesignsinc.com

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.