smart irrigation system: hardware architecture for warm project

10th Workshop on Field and Assistive Robots (WFAR-10) 1

Smart Irrigation Systems: Hardware Architecture

Muhammad Yaseen([email protected], [email protected])

Research Student, Koshish Foundation Research LabNED University of Engineering and TechnologyKarachi, Pakistan

Intern, Knowledge Management GroupGerman Research Center for Artificial Intelligence (DFKI)Kaiserslautern, Germany


Goal

To present the hardware (architecture of Wireless Sensor Network nodes) designed for Water Resource Management

(WaRM) Project


Outline• Crop Monitoring• How?• Why not go for off-the-shelf solutions?

• Hardware Architecture of Sensor Node• Iteration 1• Iteration 2

• Conclusion and Further Dimensions


Crop Monitoring: How?A Farm in Gadap Town, Karachi, Pakistan


Crop Monitoring: Wireless Sensor Networks!

A Farm in Gadap Town, Karachi, Pakistan


Why not go for off-the-shelf solutions?e.g. Libelium

• Smart Agriculture Node ranging from 375 €-550€

• Closed platform.

• We want to offer our own platform


Why not go for off-the-shelf solutions?• Our long term objective is to develop a custom solution.• Sensing• Storage• Machine Learning

• High Performance Computing Centre (HPCC) at CIS Department, NED University can provide:• Cloud storage• Data visualization• Machine Learning and Knowledge Management


Hardware Architecture of Sensor Node

Iteration 1


Iteration 1• Arduino based

system

• AM Radios for communication

• Data storage on ThingSpeak*

* © The MathWorks, Inc.


Iteration 1• 4 Sensors

• Temperature

• Humidity

• Soil Moisture

• Light Intensity


Iteration 1: System Architecture


Iteration 1: Summary• Arduino based nodes

• 4 Basic sensors: Temperature, Humidity, Soil Moisture, Light Intensity

• AM Radio for local communication.


Iteration 1: What we learned?• Arduino – not a low power MCU• Target battery life: Several months – 1 Year.

• Arduino Firmware is fine, but we need deeper level of control• Task scheduling• Power saving modes

• Need low power standards based protocols• AM consumes too much power• Problems with Scalability, PAN, Healing…

• Need an integrated solution• Signal level mismatches (3.3V, 5V), incompatible communication interfaces…


Hardware Architecture of Sensor Node

Iteration 2

10th Workshop on Field and Assistive Robots (WFAR-10)


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Iteration 2: Progress


Iteration 2: Summary• Exploring APIs and SDKs (BLE Protocol Stack, RTOS)

• Schematic design and PCB layout completed

• …now, evaluating quotations from PCB manufacturers• Best quote so far: 225 € per piece (1 Main Board + 1 Sensor Board)


Iter. 1 vs Iter. 2: Problems and SolutionsLow Level Device Control Thread level control, Task scheduling


Iter. 1 vs Iter. 2: Problems and SolutionsLow Level Device Control

Low Power MCU

Thread level control, Task scheduling

CC2650: Purpose Built Low Power SoC



Low Power MCU

Standards based, low power protocols



We get 3:



Low Power MCU

Standards based, low power protocols

Integrated System



We get 3:

MCU and RF in one SoC


Conclusion and Further DimensionsObjective

Develop a platform for WSN and IoT projects


Conclusion and Further DimensionsFurther Dimensions

• Port the code for ZigBee networks (TI Z-Stack API)

• Test basic ML models on the WSN node

• Integration with Cloud service, and developing an API


Conclusion


Questions?