| Titre : | Waste Collection Monitoring: Towards a Digital Platform |
| Auteurs : | Mohamed Younes Senoussi, Auteur ; Laïd Kahloul ; Laïd Kahloul, Directeur de thèse |
| Type de document : | Monographie imprimée |
| Editeur : | Biskra [Algérie] : Faculté des Sciences Exactes et des Sciences de la Nature et de la Vie, Université Mohamed Khider, 2022 |
| Format : | 1 vol. (161 p.) / couv. ill. en coul / 30 cm |
| Langues: | Français |
| Résumé : |
Waste generation, inadequate waste collection, transportation, treatment, and disposal are serious environmental issues in developing countries. Current waste management systems in these countries are unable to cope with the increased amounts of waste generated by an expanding urban population, which has negative consequences for the environment and public health. The obstacles and challenges are substantial, but so are the potential. Our top objective is to implement a better waste management system that can deal with today’s difficulties, starting with waste collection monitoring, with future plans to expand our efforts to include proper waste disposal methods, recycling planning, and much more |
| Sommaire : |
Acknowledgements 2 I Literature Review 13 I.1 Introduction . 13 I.2 Waste Management 13 I.2.1 Definition 13 I.2.2 Waste classification 14 I.2.3 Waste Hierarchy . 15 I.2.4 Disposal methods 15 I.2.5 Household participation in waste management 16 I.2.6 Challenges 17 I.3 Smart Cities .18 I.3.1 Definition 18 I.3.2 Components 18 I.3.3 Applications 19 I.3.4 Requirements and Challenges20 I.3.5 Proposed Solutions 21 I.4 Digitization . 22 I.4.1 Definition 22 I.4.2 Examples 22 I.4.2.1 Banking 23 I.4.2.2 Education 23 I.4.2.3 Healthcare 23 I.5 Challenges and Solutions 23 I.6 Conclusion 23 II Research Methods: Artificial intelligence 25 II.1 Introduction 25 II.2 Definition 25 II.3 AI in Waste Management . 26 II.3.1 Artificial intelligence applications in waste management26 II.3.1.1 Prediction of solid waste characteristics 26 II.3.1.2 Bin level detection 26 II.3.1.3 Vehicle routing 27 8II.3.1.4 Waste management planning 27 II.4 Related Works . 27 II.4.1 Waste Monitoring System Using ICT 27 II.4.1.1 Integrated Technologies 28 II.4.1.2 System Operation . 29 II.4.2 Multi-Agent based IoT smart waste monitoring and collection architecture 30 II.4.2.1 Functional Requirements 30 II.4.2.2 Conceptual Design30 II.5 Conclusion . 32 III Design and Implementation 33 III.1 Introduction . 33 III.2 Proposed Architecture 33 III.2.1 Architecture Description 34 III.2.2 Use Case Diagram . 35 III.2.3 DB Description 36 III.3 Development tools and used platforms 37 III.3.1 Admin Web application 37 III.3.1.1 Visual Studio Code (Code Editor): 37 III.3.1.2 Python: 37 III.3.1.3 Django: 38 III.3.1.4 HTML: . 38 III.3.1.5 CSS: 39 III.3.1.6 NuxtJS: 39 III.3.1.7 Leaflet40 III.3.2 Driver’s Android application 40 III.3.2.1 Android Studio 40 III.3.2.2 Extensible Markup Language (XML) 41 III.3.2.3 JAVA41 III.3.3 Citizen’s mobile application 42 III.3.3.1 Dart 42 III.3.3.2 Flutter 42 III.4 System Interfaces .. 42 III.4.1 Admin Web application 43 III.4.1.1 Dashboard 43 III.4.1.2 Workers 43 III.4.1.3 Bins 44 III.4.1.4 Neighbourhoods 44 III.4.2 Driver’s Android application 44 9III.4.2.1 Log In 44 III.4.2.2 Map and Path 45 III.4.3 Citizen’s mobile application 45 III.4.3.1 Sign Up & Log In 45 III.4.3.2 Home Page 46 III.4.3.3 Map 46 III.4.3.4 Problem reporting . 47 III.5 Conclusion 47 IV Conclusion and Perspectives 48 IV.1 Conclusion . 48 IV.2 Perspectives . 48 |
Disponibilité (1)
| Cote | Support | Localisation | Statut |
|---|---|---|---|
| MINF/750 | Mémoire master | bibliothèque sciences exactes | Consultable |
