LoRaWAN Sensor Data to Grafana Dashboard

@OutsourceMan

⭐⭐⭐⭐⭐ Dear Valuable Client, CnELIndia, led by Raman Ladhani, can ensure the successful completion of your project by leveraging extensive experience with LoRaWAN, The Things Network, and time-series data visualization. We will design a robust and secure data pipeline from TTN using MQTT or Webhooks, storing sensor data in a well-structured InfluxDB/TimescaleDB database with proper tags, timestamps, and units. Grafana dashboards will be configured to display temperature, humidity, battery level, and signal quality with clean, intuitive panels. Comprehensive documentation will cover architecture, setup, and operational guidance, enabling you to manage and extend the system independently. Phase 1 is expected to take approximately 25–30 hours, ensuring a reliable, maintainable, and user-friendly solution. Previous projects include TTN-based IoT monitoring and Grafana dashboard implementations for industrial sensor networks.

@AwaisChaudhry

Hello, I will design a robust, secure data pipeline that pulls LoRaWAN data from TTN EU1 into a time-series DB (InfluxDB or TimescaleDB) and builds Grafana dashboards for temperature, humidity, battery, and signal quality. TTN Webhooks or MQTT will reliably push measurements, stored with device_id, sensor, value, unit, and timestamp. The setup will be TLS-secured, with clear data schemas and maintainable configurations so you can extend it later. Grafana will connect to the DB and present clean time-series panels and quick stats. I’ll provide concise documentation: architecture overview, setup/config steps, and a simple runbook to operate and extend the system. Phase 1 delivers the end-to-end data path, a Grafana workspace with core dashboards, and installation notes. Can you confirm your preferred hosting (cloud vs on-prem) and time-series DB (InfluxDB, TimescaleDB, or other), and share any non-negotiable security, retention, and access control requirements for Phase 1? Best regards,

@irsolutions

With over 10 years of experience in web and mobile development, specializing in projects like yours involving LoRaWAN sensor data and Grafana dashboards, I understand the importance of efficiently processing and visualizing data from The Things Network. Your project requires a reliable data pipeline and well-designed dashboards to make sense of the incoming sensor data. In the realm of IoT and data visualization, I have successfully completed projects similar to yours, including setting up Grafana dashboards with InfluxDB for real-time monitoring of sensor data in industrial settings. My expertise in handling TTN Webhooks and MQTT protocols will ensure a seamless data flow setup, with a focus on maintaining security and scalability. For your project, I propose a data flow architecture that prioritizes clean data storage in a time-series database like InfluxDB, coupled with customized dashboards in Grafana showcasing key metrics such as temperature, humidity, and signal quality. This setup will be well-documented, allowing for easy maintenance and future extensions by you. I estimate that Phase 1 of this project will require approximately 40 hours to configure the data flow, set up the database connection in Grafana, and provide you with comprehensive documentation for the system's operation. I am excited about the opportunity to work on your project and look forward to bringing your LoRaWAN sensor data to life on a visually engaging Grafana dashboard.

@LiveExperts

Hello, With a thorough understanding of both The Things Network (TTN) and LoRaWAN, I have successfully implemented similar projects in the past. For instance, I recently designed an IoT data visualization system using Grafana and InfluxDB for a smart agriculture project, where we were able to monitor various parameters like temperature, humidity, and soil moisture. This experience familiarized me with the best practices for reliable data flow using TTN webhooks, MQTT, or REST API and storing the data efficiently in time-series databases such as InfluxDB. Apart from my expertise in configuring and maintaining robust data pipelines, I am well-versed in producing clean and readable Grafana dashboards that present crucial information in an easily digestible manner. My measurable approach emphasizes proper measurement structure, tags, timestamps, units to ensure that your LoRaWAN sensor data is converted into insightful visualizations with minimum complexity. I also prioritize thorough documentation including architecture overview and setup configurations for smooth future operations. We at Live Experts believe in delivering high-quality solutions that not only meet but exceed expectations. Our versatile skill set involving Data Visualization, SQL, and IoT makes us the perfect fit for your project. Additionally, our ability to effectively use engineering tools like CAD, CAM and Verilog/VHDL ensures seamless integration of your LoRaWAN s Thanks!

@Ahmedh058

Hi there, I’m Ahmed from Eastvale, California — a Senior Full-Stack Engineer with over 15 years of experience building high-quality web and mobile applications. After reviewing your job posting, I’m confident that my background and skill set make me an excellent fit for your project — LoRaWAN Sensor Data to Grafana Dashboard . I’ve successfully completed similar projects in the past, so you can expect reliable communication, clean and scalable code, and results delivered on time. I’m ready to get started right away and would love the opportunity to bring your vision to life. Looking forward to working with you. Best regards, Ahmed Hassan

@nikhilgarg96

As an experienced full-stack developer with a strong command of both back-end and front-end technologies, I believe I'm the ideal candidate for your LoRaWAN Sensor Data to Grafana Dashboard project. I've successfully completed projects that involved data visualization, storage, and processing —most recently building a similar system for an environmental data monitoring company. In terms of relevant skills, I've worked extensively with SQL and have hands-on experience with Grafana and InfluxDB. For example, in one project of similar scope, we deployed InfluxDB as the time-series database alongside Grafana to generate powerful, meaningful dashboards with robust data structures just like your project requires. Regarding The Things Network (TTN) and LoRaWAN expertise, I've integrated multiple IoT devices including LoRaWAN devices into existing systems like yours. To leverage on this. Thanks....

@Safeer143

Hi I read your project description and i would like to help you develop this project: i have already worked with dragino nodes for a client using TTN: https://www.freelancer.com/projects/internet-of-things/Dragino-IOT-Setup/details https://www.freelancer.com/u/Safeer143?review_context_id=29744425&review_type=project&reviewee_role=freelancer&frm=Safeer143&sb=t The work flow will work using MQTT communication to influxDB the graphing will be done using grafana for timeseries data for timestamps and data representation yaml files need to be configured. for further advise, i will require to review the architecture of your implementation and gateway choice. an estimated number of hours for this is around 70-80hours. feel free to contact me for further discussions.

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Data Pipeline and Dashboards for Your LoRaWAN Sensors ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a solution to visualize data from your Dragino LoRaWAN sensors. Look no further; Zohaib is here to help you! My team has completed over 50 similar projects involving data pipelines and Grafana dashboards. I will create a reliable data flow from TTN using Webhooks or APIs, store data in a time-series database, and set up meaningful Grafana dashboards for you. ➡️ Why Me? I can easily do your data pipeline and dashboard setup as I have 5 years of experience in data visualization, database management, and API integration. My expertise includes working with Grafana, InfluxDB, and REST APIs. Besides, I have a strong grip on other relevant technologies like MQTT and time-series data handling. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Data Pipeline Design ✅ Grafana Dashboards ✅ Time-Series Databases ✅ InfluxDB ✅ REST API Integration ✅ MQTT Configuration ✅ Data Visualization ✅ Webhook Setup ✅ Documentation and Guides ✅ Data Structuring ✅ Performance Optimization ✅ Sensor Data Management Waiting for your response! Best Regards, Zohaib

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in SQL, PostgreSQL, MQTT, Internet of Things (IoT), Data Visualization, LoRa, Database Management and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@andriik18

Hello, thank you for reviewing my proposal. Experienced with TTN LoRaWAN pipelines using MQTT and webhooks. Additionally, delivered Grafana dashboards with InfluxDB and TimescaleDB. Therefore, propose portable Ubuntu VPS with secure ingestion layers. Data stored as time series, optimized tags retention. Estimated Phase One effort equals thirty to forty hours. Best regards, Andrii

@AmazingEngr76386

With more than a decade's worth of experience under my belt, I'm confident I can provide the highly specialized skills you're seeking for this project. My domain proficiency spans data visualization, database management, and SQL, making me an excellent fit for ingesting, storing, and visualizing your LoRaWAN sensor data. I comprehend the intricacy that comes with working on TTN/LoraWAN tasks from my past projects including building dashboards with Grafana and setting up time-series databases like InfluxDB. A few relevant accomplishments of mine include creating insightful dashboards that present data meaningfully and coherently, aiding decision-making processes. To complement this, my strong understanding of database management and structured query language(SQL) allows me to design clean data structures that cater to long-term storage and efficient retrieval. As for the expected timeframe for Phase 1 completion, given the comprehensive scope but having implemented similar systems before, I would estimate a timeframe of X to Y hours. Rest assured, I work in line with your goals and deliver high-quality outputs that align with your business needs.".

@ianb65

Hello, I can build a clean, conversion-focused Shopify webshop that feels like a solution page (not a catalog) and is ready to scale internationally. Approach Shopify-native build with reusable sections/templates (no hardcoded theme text) Mobile-first, fast loading, strong UX hierarchy: problem → solution → proof → products/bundle → CTA SEO foundations: clean structure, metadata, internal linking, FAQ schema where appropriate Multilingual-ready (NL/BE first, later EN/DE/FR) with clean per-language URLs and easy translation workflow Pages Homepage (video above fold), Solutions (products + bundle), 2 product pages (cross-sells), How it works, About, FAQ—minimal, solution-oriented navigation. Timeline 7–10 days from receiving copy/assets (includes build + responsive QA). I can share relevant DTC/low-SKU Shopify examples in chat. Best regards, Ian Brown

@andriip38

Hello. I have experience building web applications for vending machines. These systems handle data from many distributed devices. I worked with webhooks, real-time events, and device monitoring. Data was collected, stored, and visualized for daily operations. For this project, I can use the same approach. - I will set up an Ubuntu VPS with basic security. - Data will be ingested from TTN via MQTT or Webhooks. - Storage will use InfluxDB or TimescaleDB for long-term retention. - Grafana will be used for clean and readable dashboards. Estimated effort for Phase 1 is 20-25 hours. Thanks

@nolk

Hi there, I've been working in IoT area for about 5 years with overall experience in system development and administration more than 10 years. Have good knowledge of TTN and LoRaWAN. I have view Grafana systems, that I can showcase on your request. Phase 1 will take about 6-8 hours overall.

@emilesd617

Hi, I am a full-stack developer with 8 years of experience building IoT data pipelines and visualization dashboards. I have worked with LoRaWAN devices, TTN, and time-series databases to provide real-time insights through Grafana and similar platforms. I am familiar with SQL, PostgreSQL, MQTT, IoT integration, LoRaWAN, data visualization, and database management. For this project, I would set up a reliable data flow from TTN using webhooks or MQTT, store the data in a structured time-series database (e.g., InfluxDB or TimescaleDB), and build meaningful Grafana dashboards displaying temperature, humidity, battery level, and signal quality with clear, readable panels. I would also provide documentation covering architecture, setup, and instructions so you can operate and extend the system independently. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile

@Joejoe777

Hi there, I just read all the requirements. However, I have carefully read your project description and submitted my bid after thorough research and preparation. This is my proposal for the project: I propose to design and implement a robust data pipeline and Grafana dashboards for your Dragino LoRaWAN sensors data. The solution will involve configuring a reliable data flow from The Things Network (TTN) using webhooks, MQTT, or REST API. The data will be stored in a suitable time-series database like InfluxDB or TimescaleDB, ensuring proper measurement structure and tags. For Grafana setup, I will connect it to the database and create meaningful dashboards for temperature, humidity, battery level, signal quality, etc. The panels will be clean and readable, displaying time series data and statistics. Basic documentation will be provided, including an architecture overview and setup instructions for your future reference. I propose two approaches: Option A: Utilizing TTN Webhooks for data flow and InfluxDB for database storage. Option B: Using MQTT for data flow and TimescaleDB for storage. Please let me know your preferred method. Let's discuss in detail through chat.

@rbtech1984

Hi There!!! ⚜⭐⭐⭐⭐⚜(( Real-time LoRaWAN sensor data visualized in Grafana ))⚜⭐⭐⭐⭐⚜ I understand you need a robust pipeline to process data from Dragino LoRaWAN sensors via TTN and present it in clear, actionable Grafana dashboards. With experience in IoT data handling, TTN integration, MQTT/Webhooks, and time-series databases like InfluxDB and TimescaleDB, I can set up a secure, maintainable flow that structures sensor data properly with timestamps, units, and tags. I also design Grafana dashboards that provide intuitive views of temperature, humidity, battery levels, and signal quality. Key features: reliable TTN-to-database pipeline, structured time-series storage, and user-friendly Grafana dashboards. I can deliver Phase 1 with clear documentation for operation and future expansion. Let’s discuss the technical approach and estimated hours to get your dashboards live. Warm Regards, Farhin B.

@chandibraheem58

Hii..!! Right now you have TTN data, but no dependable “field → database → dashboards” spine—so it’s impossible to monitor trends, battery health, or RF quality without manual digging. Phase 1 needs to be rock-solid for LHT52/LHT65, and provider-agnostic so scaling to ~60 sensors and new models later doesn’t become a rebuild. I’ll provision the Cherry Servers EU VPS (Ubuntu LTS), harden access (SSH keys, firewall, TLS), and deploy everything via Docker Compose with a clear separation between ingestion, storage, and visualization. For ingestion, I’ll use TTN MQTT (preferred) into a Telegraf consumer (or equivalent) with secrets/certs handled cleanly, then write into InfluxDB using a tag strategy that survives scale (device_id, sensor_model, units, rssi/snr, etc.) and retention settings suited for 1/min data and multi-year storage. Grafana will sit on top with dashboards for temperature, humidity, battery, and RF stats plus simple “health” views for long-term monitoring. You’ll get handover docs that let you redeploy the same stack on another VPS or local Linux box. Estimate for Phase 1: ~18–28 hours, depending on TTN payload specifics and the desired dashboard depth. Which TTN payload format are you using for the Dragino devices today (raw payload + decoder in TTN, or already-decoded JSON fields)? Best regards, Chand

@juanjosec63

Hello, I’m excited about the opportunity to contribute to your project. With my expertise in the required technologies and a strong focus on clean, scalable implementation, I can deliver a solution that aligns perfectly with your goals. I’ll tailor the work to your exact requirements, ensuring smooth integration, reliable performance, and a refined user experience. You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan