Edge AI Gateway Rapidly Boosts Air Compressor Applications
Application Requirements
In the era of IoT, the number of devices connected to the internet is increasing daily. A recent report from Strategy Analytics predicts that by 2025, 38.6 billion devices will be connected to the IoT. The rapid proliferation of the IoT wave leads to the generation of massive amounts of data, and edge computing gateways are rapidly becoming key components for device management, data collection, and transmission.
Customer Pain Points
A well-known air compressor manufacturer hopes to deploy a solution that can acquire real-time equipment operational data (temperature, pressure, vibration, and runtime) and perform compressor analysis, lifespan evaluation, and predictive maintenance. Since air compressors are often installed in harsh environments lacking Ethernet infrastructure, a suitable edge computing gateway must meet the following requirements: wide voltage input for unstable power supplies; a broad operating temperature range to withstand harsh environments; and wireless expansion capabilities to simplify network deployment. Additionally, cloud-based services are required for easy monitoring and multi-user access control.
Solution
Xinmai's Embedded Edge Computing Gateway, equipped with a TI Sitara AM3352 Cortex-A8 processor, offers high computing efficiency, low power consumption, and excellent cost-effectiveness. It features multiple I/O interfaces, including 2 Gigabit Ethernet, 2 RS-232/422/485, and 6 GPIOs, capable of meeting the overall requirements of an embedded edge computing gateway. It also has a wide power input and operating temperature range, which protects the system from damage due to unstable power supplies and ensures stable operation in industrial field environments.

XM-R3220 Edge Intelligent Gateway
- TI Sitara AM3352 Cortex-A8 Processor
- Onboard 1GB RAM and 8GB Flash Storage
- 2x GbE, 2x RS-232/422/485, 6x GPIO, 1x USB
- 12~24VDC / -20~70℃ Operating Temperature