I’m building an Industrial-grade IoT proof-of-concept around a Raspberry Pi and would like an experienced mind to guide me from architecture to first live data. The goal is straightforward: use the Pi as an edge device that collects plant-floor signals, pushes them securely to the cloud, and makes the information immediately actionable for maintenance and management. Here’s where I need your help: selecting the right HATs and sensors, advising on robust enclosure and power options, tightening up my Python scripts for data acquisition, and choosing the best message broker—MQTT is my front-runner, though I’m open to your recommendations. I also want to set up a simple dashboard (Grafana or Node-RED) so operators can see real-time readings without digging through logs. You would: • Review my current hardware stack and suggest any upgrades or alternatives. • Walk me through the configuration of the OS, networking, and secure remote access. • Provide clean, well-commented sample code that demonstrates end-to-end data flow—from sensor readout on the Pi to cloud database storage. • Outline a basic maintenance plan so that once deployed the system can run unattended for weeks. A concise report and the working code snippets are the deliverables; I’ll handle final deployment on-site once the pieces fit together. If you’ve shipped similar industrial monitoring solutions and can point to a Raspberry Pi build that stayed reliable on the factory floor, we’ll be a great fit.