The slide is a title presentation for the "Formula Student TGR-1E Telemetry System," focusing on cloud-based monitoring and control of in-vehicle sensor data. It includes a subtitle crediting the preparer by username and their team or university affiliation.

Formula Student TGR-1E Telemetri Sistemi

Araç içi sensör verilerinin bulut tabanlı izlenmesi ve kontrolü Sunumu Hazırlayan: [Kullanıcı Adı] Kurum: [Takım veya Üniversite İsmi]

The slide outlines the objectives of the project, focusing on collecting sensor data from the vehicle's CAN bus, transmitting it in real-time to the cloud, and storing, analyzing, and monitoring it via a dashboard. It also aims to detect issues, send control commands from the cloud to the vehicle, and establish a fully integrated telemetry infrastructure for the Formula Student vehicle TGR-1E.

Proje Amacı

• Araç içi CAN hattından sensör verilerini toplamak.
• Verileri gerçek zamanlı olarak buluta taşımak.
• Bulutta depolamak, analiz etmek ve dashboard’da izlemek.
• Sorun algılayıp buluttan araca kontrol komutları göndermek.
• Formula Student aracı TGR-1E için tam entegre telemetri altyapısı kurmak.

This section header slide introduces the "Literatür Araştırması" (Literature Review) as the third section of the Formula Student TGR-1E Telemetry System Development Project. It focuses on examining telemetry systems, relevant protocols, benchmarks, and key decisions derived from the research.

Formula Student TGR-1E Telemetri Sistemi Geliştirme Projesi

03

Literatür Araştırması

Telemetri sistemlerinin incelenmesi, protokoller, benchmark ve kararlar

The slide outlines the MQTT protocol's use of QoS1 for reliable transmission of critical signals and QoS0 for optimizing high-frequency data. It also describes the data model, which decodes CAN data using DBC/J1939 standardization and structures it in JSON format with value, unit, and timestamp fields.

Protokol ve Veri Modeli

• MQTT protokolü: QoS1 kritik sinyaller için güvenilir iletim sağlar.
• MQTT protokolü: QoS0 yüksek frekans verileri için optimize edilmiştir.
• Veri modeli: DBC/J1939 standardizasyonu ile CAN verileri decode edilir.
• Veri modeli: JSON formatında value, unit ve timestamp içerir.

Source: Formula Student TGR-1E Telemetri Sistemi Geliştirme Projesi

The slide describes the Edge Gateway hardware, where an in-vehicle gateway uses a CAN MCU (STM32) to collect and decode CAN data via DBC, while an MQTT MCU (ESP32) processes it at the edge and transmits via MQTT to the cloud, focusing on real-time decoding and preprocessing in a hybrid model. On the cloud side, data is stored and analyzed in InfluxDB, enabling fast edge processing alongside long-term storage, dashboard monitoring, and command feedback through device shadows.

Gateway Mimarisi

Source: Formula Student TGR-1E Telemetri Sistemi Geliştirme Projesi

Cloud Services slide highlights InfluxDB as a storage solution for time-series databases. It also covers dashboard and rule engine for real-time data analysis, along with the Device Shadow Model for command transmission from desired to delta and reported states.

Cloud Servisleri

• InfluxDB: Zaman serisi veritabanı için depolama çözümü
• Dashboard ve kural motoru: Gerçek zamanlı veri analizi
• Device Shadow Model: Komut iletimi (desired → delta → reported)

The slide titled "Güvenlik" outlines security measures for MQTT communication, including TLS encryption for secure data transmission and access controls via ACL and authentication. It also covers protections for the CAN bus, such as an allowlist for permissions and anti-replay mechanisms using timestamps and nonces.

Güvenlik

• MQTT için TLS şifreleme ile güvenli iletişim
• MQTT erişim kontrolü: ACL ve kimlik doğrulama
• CAN hattı koruması: İzin listesi (allowlist)
• CAN anti-replay: Zaman damgası ve nonce kullanımı

The slide on "Performans ve Fault Tolerance" highlights key performance metrics, including a telemetry frequency of 5–10 Hz for sensor data and a target round-trip time (RTT) of under 200–300 ms for end-to-end latency. It also emphasizes fault tolerance features, with buffering and retry enabled for gateway reliability and an active watchdog mechanism as a system safeguard.

Performans ve Fault Tolerance

• 5–10: Telemetry Frequency

Hz for sensor data

• <200–300: Target RTT

ms end-to-end latency

• Enabled: Buffering & Retry

Gateway fault tolerance

• Active: Watchdog Mechanism

System reliability safeguard

The slide presents a comparison matrix highlighting the project's advantages over existing literature in key performance areas. It shows a 60% improvement in latency (project: 200 ms vs. literature: 500 ms), 100% security coverage via TLS and ACL, 40% energy savings from low power consumption, and high flexibility through a scalable hybrid architecture.

Karşılaştırma Matrisi (Literatür vs Proje)

• 200 ms: Proje Gecikmesi

Literatür: 500 ms, %60 iyileşme

• 100%: Güvenlik Kapsamı

TLS ve ACL ile tam koruma

• 40%: Enerji Tasarrufu

Düşük güç tüketimi avantajı

• Yüksek: Esneklik Seviyesi

Hybrid mimari ile ölçeklenebilirlik

The slide "Şu Ana Kadar Yapılanlar" outlines key accomplishments in the project so far, including the completion of literature review and benchmark analysis. It also covers the design of an MQTT-based protocol and data model, development of a hybrid edge-cloud gateway architecture, definition of security measures and performance targets, and integration and testing of a demo prototype.

Şu Ana Kadar Yapılanlar

• Literatür taraması ve benchmark analizi tamamlandı.
• MQTT tabanlı protokol ve veri modeli tasarlandı.
• Hibrit edge-cloud gateway mimarisi geliştirildi.
• Güvenlik önlemleri ve performans hedefleri belirlendi.
• Demo prototipi entegre edildi ve test edildi.