Industrial IoT Edge Computing Application Case (Manufacturing)
We collaborate with a wide range of developers specializing in Edge Computing, Embedded Systems, and the Industrial Internet of Things (IIoT). But what exactly are we looking for? We’re interested in IoT use cases that can be applied across multiple services. In fact, most companies have specific needs related to industrial control, automation, metering, condition monitoring, asset management, and tracking. These applications represent massive opportunities for developers and engineers working in the IIoT space.
To help drive innovation, we’ve been exploring ways to develop more of these real-world use cases, offering developers insights into how they can implement edge computing solutions within their own industries. As a result, we’ve created a smart winemaking sample that showcases three key areas: agriculture, manufacturing, and logistics. This example demonstrates how IIoT can be used to build Sensors, gateways, and beacons using Qualcomm’s technologies, along with cloud and edge computing solutions.
In the following sections, you’ll see how IIoT can be applied across various domains for monitoring, automation, control, asset management, and tracking.
Example 1: Agriculture
Imagine implementing IIoT outdoors to collect environmental data. Our agricultural example simulates a vineyard environment, using precision agriculture techniques to monitor air temperature, soil moisture, and sunlight levels. These factors are essential for ensuring healthy crops and optimal yield.
We developed an IIoT prototype using three sensors powered by Qualcomm Technologies and AWS. The left sensor measures temperature—using a can of compressed air, we simulated a sudden temperature drop, which triggered a fan to prevent frost damage. The middle sensor monitors humidity; when submerged in water, it turns red to indicate overwatering. The right sensor tracks UV light exposure, which affects grape flavor and ripeness. We simulated strong sunlight using a flashlight.
Behind the scenes, all three sensors connect to a 96Boards sensor mezzanine board mounted on a DragonBoard™ 410c development board, acting as a gateway. The Qualcomm® Snapdragon™ 410E processor runs AWS Greengrass to process data locally instead of sending it back and forth to the cloud. This setup activates the fan and irrigation lights, while also displaying local data on a dashboard above the vineyard model.
The indicator panel shows temperature, humidity, and UV index, along with metrics like data transfer savings, computational time reduction, and water conservation. By processing data locally on the DragonBoard 410c, this example highlights the advantages of edge computing in outdoor environments.
Example 2: Manufacturing / Production
Next, let’s look at a manufacturing scenario. We created a sample that simulates a brewery environment, demonstrating how IIoT can enhance monitoring and control in production settings.
This time, we used gateway devices, sensors, beacons, and AWS IoT Core services.
A temperature sensor on a barrel detects changes, triggering climate control adjustments when compressed air is sprayed on it. A Qualcomm Bluetooth Low Energy (BLE) beacon from the CSR1010 Development Kit is attached to a transfer tray. When the tray moves, the gateway detects changes in signal strength to track its position and sends a departure alert via a cloud app.
These components are connected to an Advantech EPC-R4760 box computer powered by the Opteron 410E processor. The gateway uses AWS IoT Core for cloud-based climate control, records wine shipments, and updates a dashboard above the model.
This example illustrates how Qualcomm’s solutions can be used to stream data between local networks and the cloud, or to process it locally using AWS Greengrass.
Example 3: Logistics
Finally, consider remote asset management and tracking using LTE IoT modules integrated with fleet management systems. Our logistics example simulates tracking wine as it moves through the supply chain.
GPS technology is used to track the wine’s location on a map, showing details like unplanned stops and delivery times. A temperature sensor on the tray alerts if conditions go out of range, while another sensor detects shocks and vibrations, recording the chain of custody.
The tracking device is built around the Sierra Wireless mangOH Red development board and WP series IoT module, using a Qualcomm MDM9206 modem. It runs a Linux open-source framework and integrates with cloud services, showcasing cost-effective connectivity and reliable coverage even in remote areas.
This example highlights the potential of combining modems with application processors, the reach of LTE connectivity, and the future of IoT-enabled logistics.
What Will You Build?
We’ve developed several other examples that cover the entire wine production journey, including handheld devices that scan products as they enter distribution centers. To illustrate IoT in retail, we also have samples that simulate real traffic patterns, smart shelf promotions, and point-of-sale (PoS) interactions in stores.
If your business relies on industrial control, automation, metering, condition monitoring, asset management, or tracking—like many others—we recommend checking out the DragonBoard 410c Linux OS Industrial IoT Development Webinar series. It’s a great way to start integrating Qualcomm’s hardware and cloud software into your operations.
Additionally, we’ll be exhibiting these examples and more at the Nuremberg International Embedded Application Exhibition from February 27th to March 1st. Come see how IIoT can transform your business.
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