195 lines
4.4 KiB
Typst
195 lines
4.4 KiB
Typst
#import "/metadata.typ": *
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#import "/tail/bibliography.typ": *
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#import "/tail/glossary.typ": *
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#import "/main/architecture/description.typ": *
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#import "/resources/slides.typ": *
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#show:make-glossary
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#register-glossary(entry-list)
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#let HANDOUT = false
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#let NOTES = true
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#show: metropolis-theme.with(
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aspect-ratio: "16-9",
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config-info(
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title: title_style(doc.title),
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subtitle: doc.subtitle,
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author: enumerating-authors(items: doc.author, multiline: false ),
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date: date.defence,
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institution: school.name,
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),
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footer: self => [#self.info.institution],
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..get-config(),
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config-common(
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handout: HANDOUT,
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show-notes-on-second-screen: if NOTES {right} else {none}
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)
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)
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#set text(region: "gb")
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#show: myglobals
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#title-slide()
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// 20 min presentation
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// 5 (students) + 25 (teachers) min Q&A
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/*
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technical -> each section should go for around (3min / pers)
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- Node: Adrien
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- Gateway: Djelal
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- DB: Rémi
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- UI: Ibrahima
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- Physique: Alison
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general (50s/pers)
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1. Context (dimitri) (Rémi)
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2. architecture + choix (BLE, MQTT, Influx, ) (Ibrahima)
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3. organisation et gestion des tâches et resources (Djelal)
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TECHNIQUE
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4. regard critique (adrien)
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5. developement futur (Alison)
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// Slide in english
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// Presentation en français
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*/
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= Intro // (50s) Rémi
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// Context of the project
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// Dimitri missing
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#speaker-note[
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This is a personal note
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]
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---
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== Architecture // (50s) Ibrahima
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#let top_level_architecture = [
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#figure(
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image("../../resources/img/ui_images/architecture.png"),
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caption: [Top level architecture]
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) <fig:top_level_architecture>
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]
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#top_level_architecture
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== Organisation & Task Management // (50s) Djelal
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#slide[
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#grid(
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columns: (1fr, 1fr),
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gutter: 2em,
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align: left+top,
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[
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*Project management*
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- Weekly meetings
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- PV after each meeting
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- GitHub Issues & sub-issues
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- Pull Requests with code review
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- Teams for daily communication
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- GULAG Git conventions
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],
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[
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*Work distribution*
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- Adrien — Nodes firmware (Zephyr)
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- Djelal — Gateway (BLE-to-MQTT)
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- Rémi — Database & API
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- Ibrahima — User Interface
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- Alison — Physical model
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]
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)
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]
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= Nodes // (3min) Adrien
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#include "nodes.typ"
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= Gateway // (3min) Djelal
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#include "gateway.typ"
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= Database & API // (3min) Rémi
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#include "db.typ"
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= User interface // (3min) Ibrahima
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#include "ui.typ"
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= Physical model // (3min) Alison
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#include "models.typ"
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= Conclusion
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== Project's takeaways // (50s) Adrien (Regard critique)
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- @trl:long (@trl:short) 4 #pause
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- Forecasting // and Teams notifications
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== Future perspectives // (50s) Alison
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- Deployment in every room #pause
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- Equip the door with sensors #pause
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- Calibrate the sensors and, if necessary, replace them with higher-performance devices #pause
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- Conduct multiple measurement campaigns knowing the number of students to adjust the physical model #pause
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- Display the predicted time to reach the threshold and the window opening duration on the board #pause
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- Teams notifications #pause
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- Implement a forecasting using machine learning
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#focus-slide[Questions?]
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#show: appendix
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== Glossary
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#print-glossary(
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entry-list,
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// show all term even if they are not referenced, default to true
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show-all: false,
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// disable the back ref at the end of the descriptions
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disable-back-references: true
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)
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== Bibliography
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#bibliography(title: i18n("bib-title", lang: option.lang), bib.path, style:bib.style)
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= Annexes
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== Description of the model
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#grid(
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columns: (1.7fr,0.1fr,1fr),
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[#figure(
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image("../../resources/img/Physical model/data flow diagram window opening .png"),
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caption: [Description of the model]
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) <fig:physical_model_no_ventilation>],
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[
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],
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[
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Formulas for determining the evolution of @co2 concentration :
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#text(size: 12pt)[
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- $C_"CO2" (t) = C_"CO2" (t=0) + frac(N.Q_"CO2_prod".t,V)
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$
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- $C_"CO2" (t) = (C_"CO2_indoor" (t=0) - C_"CO2_outdoor" - frac(0.001 . Q_"CO2_prod", Q_"air")) . \ exp (frac(-Q_"air", V) . t)
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+ C_"CO2_outdoor" + frac(0.001 . Q_"CO2_prod", Q_"air")
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$
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where,
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$C_"CO2" (t=0)$ #h(1.5cm) initial co2 concentration [ppm]
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N #h(3.4cm) number of students
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$Q_"CO2_prod"$ #h(2cm) co2 flow rate per person [l/h]
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$C_"CO2_indoor" (t=0)$ #h(0.6cm) indoor co2 level before window-opening [ppm]
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$C_"CO2_outdoor"$ #h(1.7cm) outdoor air concentration [ppm]
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$Q_"air"$ #h(3cm) incoming air flow rate [$m^3$/h]
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$V$ #h(3.3cm) room volume [$m^3$]
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$t$ #h(3.5cm) time [h]]
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]
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) |