The X-LINUX-PREDMNT application is an STM32 MPU OpenSTLinux Expansion Pack that runs on the Cortex A7 side of the MP1 microprocessor and used in conjunction with WIREST-SDK and EDGEST-SDK to implement Edge gateway functionality between wire-connected sensor nodes and cloud services. The overall predictive maintenance platform (PMP) setup involves registering sensor devices through a dashboard, configuring an STM32MP1 as an Edge gateway, and connecting with a cloud service provider.
Processed environmental and inertial data are sent to the IoT cloud, visualized on the dashboard, and used to detect conditions which may indicate the need for maintenance intervention. This particular solution includes the AWS IoT Greengrass Edge Computing service to allow local processing of sensor data through Lambda functions on the Edge gateway even in absence of cloud connectivity. Data synchronization when the cloud becomes reachable again is handled automatically.
- Python™ 3.5.x (enabling Pillow module)
- Distributed as ready-to-use binary image (to be flashed on STM32MP1 microSD) and source code Yocto layer for OpenSTLinux.
- Sensor provisioning via AWS IoT Greengrass, enabling lambda functions to handle alarm generation on sensor data.
- Quick system setup through ST evaluation account in Amazon Web Services (limitations apply):
- Trial basis duration: 6 months
- Max number of devices: 5
- Max number of Edge nodes: 1
- User data segregation.
- BSD (3-clause) license terms.
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|Part Number||General Description||Software Version||Supplier||GitHub link||Download|
|STM32 MPU OpenSTLinux Expansion Pack for Predictive Maintenance application||STM32 MPU OpenSTLinux Expansion Pack for Predictive Maintenance applications||ST||-||Go to site|
|Quick start pre-configured image for SD Card (include gateway configuration procedure)||STM32 MPU OpenSTLinux Expansion Pack for Predictive Maintenance applications||1.0.0||ST||-|
MadeForSTM32™ is a new quality label delivered by ST, which is granted after an evaluation process. It helps engineers identify third party solutions with the highest level of integration and quality for the STM32 microcontrollers' ecosystem. MadeForSTM32™ is offered to members of the ST Partner Program who want to go one step further in our collaboration, with the overall objective of contributing to a high-quality STM32 ecosystem.
The STM32Cube.AI is an extension pack of the widely used STM32CubeMX configuration and code generation tool enabling AI on STM32 Arm® Cortex®-M-based microcontrollers.
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