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Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
Sas en – a swarm of agents for a sustainble environnent
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Sas en – a swarm of agents for a sustainble environnent

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Sas en – a swarm of agents for a sustainble environnent

Sas en – a swarm of agents for a sustainble environnent

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  • 1. Ruvindee Rupasinghe, Sanjaya Ratnayake, Anuruddha Ranatunga, Amila Sajayahan, Asoka S. Karunananda Faculty of Information Technology University of Moratuwa SAS_EN – A swarm of Agents for a sustainble Environnent
  • 2. Overview
    • Introduction
    • Problem Definition
    • Existing Solutions & Others’ work
    • Aims and Objectives
    • Using MAS for environment sustainability
    • Analysis and Design
    • Implementation
    • Discussion & Further work
  • 3. Natural Environment
    • Natural environment has been the infrastructure for all activities of living beings in the world.
    • All living beings occupy and consume environmental resources while releasing the waste products to the same environment
    • Undoubtedly, environment is the most precise resource to be effetely utilized and managed.
  • 4. Nevertheless
    • When compare with other living beings, humans release harmful waste products to the environment as a part of their consumption of environmental resources
    • Environment space has been utilized by the man kind by destroying the natural balance
    • Humans consume limited environment resources without allowing regeneration of such resources
  • 5. Exsisting approches ….
    • Environmental information systems
    • Grow rooms
    • Grow boxes
    • Automation Components
    • However, all of them follow a reactive paradigm, where the system waits till the environment change for making any action.
  • 6. Aim
    • Develop an autonomous
    • Agent based solution for
    • maintaining environment
    • sustainability
  • 7. Objectives
    • Study of the existing environmental issues.
    • Study of technologies that can solve the problem
    • Design and Develop an Agent Based Solution for environment sustainability – Hydroponics environment has been used as the test environment
    • Evaluation of the solution
  • 8. Adopted Approach – Using Swarm of Agent for a sustainble Environment
    • A multi agent system to emulate process in hydroponics environment
    • Enable passing messages to establish negotiations among environmental factors to achieve the environment sustainability
  • 9. Our solution, SAS_EN
  • 10. Decision Architecture Temperature control Agent Water control Agent Ontology Message Agent Nutrient control Agent Actuators Sensors Ec measure Water level measure P H measure Temperature measure Valves Fan Light Pumps
  • 11. Features & Advantages
    • 24/7 monitoring of the system(Ec value, P H value, temperature etc.)
    • Autonomous emergent decision making
    • Self controlling of the inputs to the system (Water level, nutrient solution, heat & ventilation)
  • 12. Uniqueness of the SAS_EN approach Traditional Automation Our approach Pre-programmed behavior Emergent behavior Reactive Proactive Not adaptive Adaptive Needs a PC No need for a PC Periodic adjustments Dynamic adjustments Depend on a pre-specified algorithm Depend on the interactions between Agents
  • 13. Technical Overview
  • 14. Usage
    • Cost of the system around $ 300
    • Easy installation
    • Intervention required from the owner is minimum
    • Ability to operate manually in case of a power failure
  • 15. Evaluation Performance evaluation criteria Managed by the embedded solution Managed manually Yield Yield was high. Also there were only few perishable items. (1.5% yield was perishable ) Yield is average. There were many perishable foods. (2.5% yield was perishable ) Labour hours 2 labour hours per day 16 labour hours per day Money Initial cost, electricity cost Labour cost, Rework cost Reliability Reliable Reliable Response time Very High Average Usability Very High Average
  • 16. Flashback
    • Addressing the Environment sustainability
    • Enhancing an alternative agricultural method
    • Provide proactive and autonomous capabilities to a Hydroponics system
    • Enables a Hydroponic system to sustain amidst rapid environmental changes
  • 17. Sanjaya Ruvindee Anuruddha Amila
  • 18. SAS_EN in action
  • 19. Faculty of Information Technology University of Moratuwa Sri Lanka

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