Motor vehicle emission checker danu-lap
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The document proposes the design and development of an application to gather emission statistics from motor vehicles and reduce air pollution. It would use an embedded system and sensors on vehicles to monitor emissions in real-time, transmit the data via wireless networks to a server, and analyze the data using machine learning algorithms. The application would help regulatory agencies, manufacturers, and general users monitor vehicle emissions and identify issues. The document outlines the objectives, proposed architecture, literature review, requirements analysis, design, implementation, and evaluation plan for the project.
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Motor vehicle emission checker danu-lap
- 1. Motor Vehicle Emission Checker An Embedded & Web Solution to Help Improve Motor Vehicle Emission Quality. Dhanushka Jayaweera
- 2. Outline Introduction Testing Implementation Risk Management Requirements Analysis Literature Review Design Evaluation Conclusion
- 3. Project Background & Problem Domain • Motor vehicle emission is a significant source of air pollution affecting both animals and the environment. • There is no system is the world today that can automatically monitor, record, query and analyze real time emission data from multiple vehicles. • The system developed can perform all such tasks and help reduce environmental pollution to a greater extent. A Frequent, Accurate, Detailed & User Friendly Emission Testing Mechanism Is Therefore Needed.
- 4. Objectives of the Project Literature Review Design Requirements Analysis Implement Test Evaluate
- 5. Proposed Solution “To design and develop an application which can gather emission statistics from motor vehicles and produce a solution to reduce air pollution caused by motor vehicles.”
- 6. Proposed Solution – High Level View Server Emission and Location Data General User Vehicle Manufacturer/ Critique Government Agent
- 7. Literature Review • Air Pollution • What is air pollution? • Air pollution caused by vehicles • How does it affect? • Data Mining • Right approach for this project • Rule based – “Ripper” data mining
- 8. Literature Review – Cont. • Hardware – Embedded • Real time embedded systems • BeagleBone Black VS alternatives • Data Transmission • Using WiFi in vehicles • Using 3G / 4G in vehicles • Power Supply • Linear VS Switch Mode power regulators • Power handling – Overall
- 9. Requirements Analysis Why Spiral Methodology?? Functional / Non Functional Requirements LKR. 22,000 + Display
- 10. Risk Management Several risks were involved with this project! • Time Constraints • Software Risks • Hardware Risks • Unexpected Cases Spiral methodology has built in support for early risk assessment.
- 11. System Design • Web Architecture • Data layer • Application layer • Presentation layer: • Client
- 12. System Design – Cont. • Embedded Architecture • Application layer • Middleware • OS • Device drivers • Hardware • BeagleBone Black • MQ Gas sensors • Fastrax GPS • LM2596 and MP2307 ICs • Voltage Divider
- 13. Implementation • Data Mining - Ripper • Web Implementation
- 14. Implementation – Cont. • Embedded & Hardware Implementation
- 15. Implementation – Cont. • Final Implementation – Hardware
- 16. Testing • Black / white box / Accuracy Testing • Functional Testing • Hardware Testing
- 17. Evaluation • Data Evaluation - Data Accuracy Gas 01 – H2 Gas 02 – CO Gas 03 – NH3, Benzene, S Gas 04 – CH4
- 18. Evaluation – Cont. Deliverables Functionalities Questionnaire Adoptability Practicality Cost Factor Effectiveness
- 20. Conclusion – Cont. • Future Enhancements • Read vehicle’s speed along with the gas ppm. • Display real time emission performance graphically. • Automatically suggest repairs, send warnings. • This system can be used as an all-in-one replacement for • Car video/sound system • GPS navigation • Internet access • Security System Therefore, cost of this system can be easily covered.
- 21. Questions?
- 22. Thank You!
Notas del editor
- Good morning, Im Danu Today I will be talking about my final year project. Its called MVEC. It’s a fully functional embedded and web solution which is intended To help improve emission quality in motor vehicles.
- Intro Background Problem Domain Aims and Objectives Scope Solution LR Air pollution Data mining Embedded Power Transmission RE Stakeholders Functional Non Functional Financial Development Methodology RISK – Hardware Design & Implementation Web Embedded/hardware Data mining Testing Black white Functional performance hardware Evaluation Data Self User expert Conclusion Difficulties future enhancements
- According to WHO motor vehicle pollution is the top ranked single polluting agent We only have annual testing methodologies
- Air pollution – introducing substances in to the air which can have harmful effects By vehicles - CO, CO2, NOx, SOx, Benzene, etc Effect – environmental pollution , breathing problems, mental instability, death! Data mining- Artificial neural networks, Genetic algorithms, Decision trees, Nearest neighbor method, Rule induction, Data visualization Rule based – Direct - Ripper CN2 Indirect - C4
- Embedded - Electronic systems that monitor, respond, control an external environment. Time constrains correctness concurrency exception Custom hardware reactive stable BBB – Processor RAM SSD GPIO OS Power support customizable Raspberry Pi / Arduino WiFi/3G – Both OK, preferred 3G PSU – Linear / Switch Size Voltage current efficacy reliability ripples
- Methods : Agile Scrum Spiral RAD FDD Spiral : iterative development + systematic, controlled aspects of the waterfall model Spiral : Identification Design Build Evaluate (early risk) Flexible effective monitoring early risk change RE Customise
- Experience project handling time managing identify requirements Coding limitations hardware breakdown hardware incompatibility Power supply issues unexpected scenarios
- Data – Databases – mysql App - Logic. Calculations, validations, workflow managing, database handling Present - generates web pages. Data ->database. "decode" web pages. Client – copy from server which client experience PHP JavaScript jQuery mySQL PHP – open source simple DB support protocol support like POP cost effective hosting community support DB – MYSQL -- not NOSQL
- Linux environment – Ubuntu Kernal 13.10 C, C++ on g++ compiler - cross platform easy communication with hawarare Speed low resource utilizing Why these hardware
- Data mining –Rule based – Ripper Ripper - easy interpret High speed/performance easy generate easy handling missing values Web app - sorting
- Embedded – read and upload data Gas – MQ 4 / 7 / 8 / 135 Regulator – LM2596 MP2307
- Accuracy : Func test : Gas GPS BBB upload data Sort generate report
- Self evaluation – deliverables: TOR LR SRS IR PR FR working prototype Functional : Gas GPS BBB Login sort report email 2. User eval - 3. Expert eval - Adoptability Practicality cost solution effectiveness
- Scope Data mining Hardware issues Power issues Linux Finding enough literature
- Web Embedded Hardware Data mining
- Explain the topic
- Explain the topic