Nobo green part_3_asm_mukter
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Transcript of Nobo green part_3_asm_mukter
1Dr. A.S.M. Mukter-Uz-Zaman (Team Leader)1Prof. DR. IR. Wong Hin Yong2AIRUL AZHA ABD RAHMAN
1Faculty of Engineering , Multimedia University2IMEN,Universiti Kebangsaan Malaysia (UKM)
MyTRIZ Competition 2013
NoboGreen
Part 3
Email for corresponding: [email protected] No: MTZ8251
Problem To Solve:Profiling environmental parameter using a large number of spatially distributed Wireless Sensor Network (WSN) components is an extensive illustration of advance modern technologies. But high power requirement for WSN components limits the widespread deployment of these technologies. Currently, WSN components are extensively powered up using batteries. But battery has limitation of lifetime, power density and environmental concerns. Thus, it incurs huge maintenance cost and for remote and inaccessible areas battery replacement is simply impossible. Find out alternate solution for powering thousands of WSN components deployed in the remote and distance locations.
Whatever we can predict from the given problem
What Deployment of WSN component is impractical. When Long duration for profiling environmental parametersWhere Remote and distance area such as aquaculture area. Who Thousands of WSN components Why Lack of power and impossible to replace battery How WSN components consume high power
Background of the Problem: Wireless Sensor Network and Research Focus
Wireless Sensor Networks is widely deployed in the large area of interest, which is totally off the power supply grid.
Figure 1: Architecture of a complete WSN
Figure 2: Wide application domain of WSN.
Figure 3: Research Focus on WSN.
Analysis of the Problem
Benefit /Impact of solving the problem– Faster Wide-spread deployment of WSN components – Cheaper Battery replacement cost and battery cost. – Safer No hazardous byproduct coming out from the system – Better reliability No battery related down/dead time– Functionality New functionality added along with data collections by WSN
components
Reason for the Changes: Size, cost, limited life time and environmental impact of battery restrict the wide spread deployment of WSN components.
Figure 4: Photograph of battery powered WSN components
Define Solve
Perceived Problem
EvaluateIdeas
SolutionIdeas
Brainstorm
Resources
Investigate
Ideal Final Result IFR
Space Time Interface
FunctionAttribute Analysis
Su-Field Analysis
Trends of Evolution
Contra-dictions
Problem Statement
TRIZ Methodology used to Solve the Problem
Figure: Used TRIZ methodology to Solve the problem
Functional Attribute Analysis
1. Identifying components of the system
Key components of the system: WSN components, Battery, Power, data collection, data transfer, battery lifetime, casing, circuitry, deployment, etc.
WSN Components
Battery
Data collection
Casing
Power
DataTransmission
DeploymentCircuitry
Battery life
Figure 4: Photograph of battery powered WSN components
Functional Attribute Analysis
2. Identify and Characterize Function of the Components based on the given problem.
Operating Principle: WSN components transmit power to the adjacent components by consuming power
WSN components
Battery
Leakage current
Sleep mode
Transmitter
Duty cyclePower
consumption
Signal sendDifferent Functions.
Power
Output
DataCollection
Protection
Power
Drain
Active mode
Transmit
• Missing functions
• Excessive functions
• Insufficient functions
• Harmful functions
• Useful functions
M• Main Useful function
M
• Missing functions
• Excessive functions
• Insufficient functions
• Harmful functions
• Useful functions
c
M• Main Useful function
Different Functions.
c
Super system
System
Sub-System
Past Present Future
Hyper system
Sensor, transmitter and battery
power
Sensor, transmitter and energy harvester
Sensor, transmitter
and external power
Embedded Circuitry for
power receiving
Embedded Circuitry for
power management
Embedded Circuitry for
power harvest and management
Wired WSN components
Battery powered WSN components
Self-powered WSN
components
Energy harvester
Space Time Interface: Power consumption by WSN components
Hybrid energy harvester
The Ideal Final Result (IFR)
CurrentSituation i f
r
Ideality =Benefits
Costs + HarmIdeality =
Benefits
0 + 0
Battery power
Energy harvester
Hybrid energy
harvester
Perpetual Operation
Infinite life time
The Ideal Final Result (IFR)
Identification and defined the problem.
Figure 3: Wide application domain of WSN.
“SIZE Does MATTER”
Battery occupy up to 90% of the device “ LIFE is SHORT”
Limited Lifetime
“BATTERY is HAZARDOUS”
Contains toxic and explosivematerial
“COST is KILLING all”
Costly and very tedious for battery replacement
Figure 5: Existing battery limitation Figure 6: Scenario with in-house WSN components
PROBLEM STATEMENT90% of WSN
are impractical without energy
harvesting
Technical Contradictions
DegradedParameters
Parameter Numbers
Principles used
Harmful function
30 17,1,40,33
Device complexity
36 All
Weight 8 35,34,38
Ease of Manufacturing
32 35,10
Productivity 39 20,10,35,38
Recommendations
Principle Frequency
1,17,20 1
All 1
35 3
34,40 1
20 1
38 2
Formulate problem in MATRIX Contradictions :Improve Gets worse or Stands in the way
16. Duration of action by stationary object
30. Object affected harmful function
Characteristic to improve: Long lifetime Characteristic becoming worseOr standing in the way: Volume/ Size of the batery
Solution Ideas from Define stage:
From Function Attribute Analysis Energy harvesting from the ambient source of the WSN Self-powered WSN components
From 9-Windows Energy harvester and power management circuitry in the
same structure of the WSN components Scalable Energy harvester with the WSN components
From IFR Hybridization of the energy harvesting components in a
single platform to harvest desire power
Solution Ideas from Solve stage:
From Problem DefinitionReplacement of the battery with energy harvester
From ContradictionsParameter changeStrong oxidantComposite materialsFlexible films/membraneExtractionsContinuity of the useful function
From TrendsHybridization of the energy harvester that is capable to harvest energy from the ambient environment to provide a perpetual operation to the WSN components.
Solution Evaluation Criteria:
Criteria Comparison with known Solution
1.The solution removes the primary tradeoffs and contradictions.
Yes since the power is harvesting from the ambient source it eliminate the dependency on the battery.
2. Do the harmful features disappear? Yes, No more hazardous materials from the thousands of the battery.
3. a) Are the useful features retained? b) Will new benefits appear?
No
4. Will new harmful features/ Contradictions appear?
No
5. Does the solution make system become Simpler? No Change? More complex?
Simpler
6. Are idle, easily available, or underutilized resources used? Is the solution new?
Yes
7. Implementation: Easy, Moderate , Difficult(also: safety, security, compatibility, regulatory)
Easy.
Solution Evaluation
Solution to Pursue (Patented). Solution : Develop a hybrid energy harvesting platform from multiple
ambient sources for WSN components, and integrating energy harvesting sources, storage, circuitry and WSN components in a single platform.
Figure 7: Photograph of the proof-of-concept deployment of working system in the aqua-cultural environment.
Figure 8: Photograph of the system in working condition.
Photograph of the proof-of-concept deployment of working system in the aqua-cultural environment.
Conclusions• In this presentation TRIZ is used to solve the drawback of the
limited life time of battery powered WSN components.• It is found that without energy harvesting WSN components are
impractical to deployment hence a hybrid energy harvester is proposed.
• The proposed energy harvesting system is developed successfully with detailed contemplation of all sub-components, integrated with in-house developed WSN components, and deployed magnificently for profiling environmental parameters.
• Developed innovative solution is patented.