{"product_id":"kit-pi-4-influxdb-grafana-monitor","title":"Pi 4 InfluxDB Grafana Monitor Kit with Raspberry Pi 4 + DHT22","description":"\u003ch1\u003eBuild a Long-Term Climate Dashboard with the Pi 4 InfluxDB Grafana Kit\u003c\/h1\u003e\n\n\u003cp class=\"value-summary\"\u003eEvery part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.\u003c\/p\u003e\n\n\u003cdiv class=\"specs-strip\"\u003e\n  \u003cspan\u003e\u003cstrong\u003eDifficulty:\u003c\/strong\u003e Intermediate\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eBuild Time:\u003c\/strong\u003e 4-5 hours\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eAge:\u003c\/strong\u003e 15-18\u003c\/span\u003e\n  \u003cspan\u003e\u003cstrong\u003eSkill:\u003c\/strong\u003e Docker containerization \u0026amp; time-series data visualization\u003c\/span\u003e\n\u003c\/div\u003e\n\n\u003cp\u003eTransform your Raspberry Pi 4 into a professional environmental monitoring station. This kit equips you to collect temperature, humidity, and barometric pressure data from DHT22 and BMP280 sensors, push it every minute into a local InfluxDB time-series database, and visualize trends with stunning Grafana dashboards—all running inside Docker containers for a clean, reproducible setup. The kit includes a pre-flashed 32GB MicroSD card with the OS and essential tools, so you can jump straight into assembling the hardware and configuring the software stack. Whether you are tracking room climate for a science fair, building a foundation for an IoT analytics platform, or exploring DevOps practices on ARM devices, this project delivers real-world data engineering skills that scale from hobbyist to professional use.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Build\u003c\/h2\u003e\n\u003cp\u003eYou'll assemble a fully functional climate dashboard that logs sensor readings every 60 seconds. The Raspberry Pi 4 runs InfluxDB and Grafana in Docker containers, pulling data from two DHT22 sensors and a BMP280 pressure sensor via GPIO and I2C. You'll create Python scripts that handle sensor interfacing and data ingestion, then design Grafana dashboards with line charts, gauges, and time-range selectors. The final system displays live-updating temperature, humidity, and pressure trends accessible from any browser on your local network, giving you a powerful tool for long-term environmental analysis.\u003c\/p\u003e\n\n\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\n\u003cul\u003e\n  \u003cli\u003eSet up Docker containers on Raspberry Pi and manage InfluxDB and Grafana services using docker-compose\u003c\/li\u003e\n  \u003cli\u003eInterface DHT22 and BMP280 sensors over GPIO and I2C, reading precise environmental data with Python libraries\u003c\/li\u003e\n  \u003cli\u003eWrite Python scripts to push sensor data into InfluxDB every minute and design an efficient time-series schema\u003c\/li\u003e\n  \u003cli\u003eCreate Grafana dashboards with line charts, gauges, and historical time-range selectors for deep trend analysis\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eKit Contents\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eComponent\u003c\/th\u003e\n\u003cth\u003eQuantity\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eRaspberry Pi 4 Model B 4GB\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eDHT22\u003c\/td\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eBMP280\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e4.7kΩ Resistors\u003c\/td\u003e\n\u003ctd\u003e10\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003e40-pin GPIO Header\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eM-F Wires\u003c\/td\u003e\n\u003ctd\u003e20\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eMicroSD Card 32GB\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWhy Buy This Kit Instead of Sourcing Parts Separately\u003c\/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eFactor\u003c\/th\u003e\n\u003cth\u003eSourcing Separately\u003c\/th\u003e\n\u003cth\u003eCompoden Kit\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n  \u003ctbody\u003e\n    \u003ctr\u003e\n\u003ctd\u003eCompatibility checks\u003c\/td\u003e\n\u003ctd\u003eYou verify every part\u003c\/td\u003e\n\u003ctd\u003ePre-tested as a system\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eBuild support\u003c\/td\u003e\n\u003ctd\u003eForums and scattered tutorials\u003c\/td\u003e\n\u003ctd\u003eAI companion trained on this exact project\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eTime to first working build\u003c\/td\u003e\n\u003ctd\u003eDays of debugging\u003c\/td\u003e\n\u003ctd\u003eHours, with step-by-step guidance\u003c\/td\u003e\n\u003c\/tr\u003e\n    \u003ctr\u003e\n\u003ctd\u003eShipping coordination\u003c\/td\u003e\n\u003ctd\u003eMultiple sellers, multiple delays\u003c\/td\u003e\n\u003ctd\u003eOne shipment from Bengaluru in 3-5 days\u003c\/td\u003e\n\u003c\/tr\u003e\n  \u003c\/tbody\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eWho This Kit Is For\u003c\/h2\u003e\n\u003cp\u003eDesigned for intermediate makers—CBSE Class 11-12 students exploring data science and IoT, B.Tech ECE\/EEE undergraduates working on mini projects, and Smart India Hackathon participants needing a reliable monitoring backbone. Also ideal for ATL Tinkering Lab instructors who want a hands-on demonstration of Docker, sensors, and visualization without sourcing components separately. If you have basic Python and Raspberry Pi experience, you're ready to build.\u003c\/p\u003e\n\n\u003ch2\u003eBuilt and Backed by Compoden\u003c\/h2\u003e\n\u003cp\u003eEvery Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.\u003c\/p\u003e\n\n\u003cdetails\u003e\u003csummary\u003eWhat if I get stuck during the build?\u003c\/summary\u003e\u003cp\u003eScan the QR code to chat with our AI companion, trained on every step of this project. If it’s after hours, WhatsApp support is available for troubleshooting.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eCan I view the dashboard from my phone or laptop?\u003c\/summary\u003e\u003cp\u003eYes. Once set up, Grafana runs as a web server on your Pi, accessible from any device on the same Wi-Fi network via a browser.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eDo I need prior experience with Docker or Linux?\u003c\/summary\u003e\u003cp\u003eNot at all. The AI companion provides commands and explanations; you’ll learn Docker basics as you build.\u003c\/p\u003e\u003c\/details\u003e\n\u003cdetails\u003e\u003csummary\u003eWill this kit work for long-term data logging (weeks or months)?\u003c\/summary\u003e\u003cp\u003eAbsolutely. The 32GB SD card can store months of 1-minute interval data, and InfluxDB is optimized for time-series storage.\u003c\/p\u003e\u003c\/details\u003e\n\n\u003cdiv class=\"kit-description\"\u003e\n  \u003cp\u003ePi 4 runs InfluxDB and Grafana in Docker. DHT22 data pushed every minute creates beautiful long-term trend charts.\u003c\/p\u003e\n  \u003ch4\u003eWhat's in this kit\u003c\/h4\u003e\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/industrial-ph-sensor-module-for-arduino-esp32-raspberry-pi\"\u003eRaspberry Pi 4 Model B 4GB\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/dht22-temperature-humidity-sensor-module-accurate-readings\"\u003eDHT22\u003c\/a\u003e x2\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/bmp280-barometric-pressure-temperature-sensor-module-compodenin\"\u003eBMP280\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003e\n\u003ca href=\"\/products\/resistor-variety-pack-100-pcs-10-values-14w-carbon-film\"\u003e4.7kΩ Resistors\u003c\/a\u003e x10\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/raspberry-pi-400-gpio-header-adapter-40-pin-breakout\"\u003e40-pin GPIO Header\u003c\/a\u003e\u003c\/li\u003e\n    \u003cli\u003eM-F Wires x20\u003c\/li\u003e\n    \u003cli\u003e\u003ca href=\"\/products\/microsd-card-reader-spi-module-for-arduino\"\u003eMicroSD Card 32GB\u003c\/a\u003e\u003c\/li\u003e\n  \u003c\/ul\u003e\n\u003c\/div\u003e\n\n\u003cscript type=\"application\/ld+json\"\u003e\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is included in the Pi 4 InfluxDB Grafana Monitor Kit with Raspberry Pi 4 + DHT22?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The Pi 4 InfluxDB Grafana Monitor Kit with Raspberry Pi 4 + DHT22 includes all components needed: Raspberry Pi 4 Model B 4GB, DHT22, BMP280, 4.7kΩ Resistors, 40-pin GPIO Header and more. Everything is pre-tested for compatibility and shipped from Bengaluru, India.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What skill level is required for the Pi 4 InfluxDB Grafana Monitor Kit with Raspberry Pi 4 + DHT22?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This kit is designed for Intermediate level makers, suitable for ages 15-18. Pi 4 runs InfluxDB and Grafana in Docker. DHT22 data pushed every minute creates beautiful long-term trend charts. Estimated build time is 4-5 hrs.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can I buy the Pi 4 InfluxDB Grafana Monitor Kit with Raspberry Pi 4 + DHT22 online in India?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, the Pi 4 InfluxDB Grafana Monitor Kit with Raspberry Pi 4 + DHT22 is available online at Compoden (compoden.in), India's AI-powered electronics and robotics store. 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