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Engine monitoring system #31
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Engine monitoring system #31
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Pull request overview
This pull request introduces an Engine Monitoring System built on the Si91x Bluetooth platform with ICM40627 sensor integration. The system monitors critical engine parameters including temperature and vibration to assess engine health and provide predictive maintenance insights.
Changes:
- Added ICM40627 6-axis inertial sensor integration for real-time motion and temperature monitoring
- Implemented engine health assessment logic based on temperature and vibration thresholds
- Created project configuration files for the SiWx917 development board with SSI/SPI peripheral setup
Reviewed changes
Copilot reviewed 45 out of 48 changed files in this pull request and generated 1 comment.
Show a summary per file
| File | Description |
|---|---|
| app.c | Implements engine health monitoring logic with temperature and vibration threshold checks |
| app.h | Declares application initialization and process action functions |
| icm40627_example.c | Handles ICM40627 sensor initialization, configuration, and periodic data reading via SSI interface |
| icm40627_example.h | Defines sensor example function prototypes and external driver handle |
| main.c | Standard application entry point with power management and kernel setup |
| readme.md | Documentation for ICM40627 sensor usage and setup instructions |
| sl_si91x_icm40627_3.slcp | Project configuration defining components, SDK versions, and build settings |
| config/* | Hardware and peripheral configuration files for SSI, GPIO, DMA, timers, and FreeRTOS |
| autogen/* | Auto-generated build system files, linker scripts, and component catalogs |
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| KEEP(*(.eh_fram e*)) |
Copilot
AI
Jan 16, 2026
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Corrected spelling of 'eh_fram e' to 'eh_frame'. There appears to be an unintended space in the middle of the word.
| KEEP(*(.eh_fram e*)) | |
| KEEP(*(.eh_frame*)) |



Description
This pull request adds the Engine Monitoring System project, which focuses on monitoring critical engine parameters such as temperature and vibration in real time. The system performs basic predictive analysis on sensor data to assess engine operating conditions and provide maintenance-related insights, enabling early identification of abnormal behavior.
The project is developed using the Si91x Bluetooth platform and demonstrates sensor data acquisition, processing, and condition evaluation for engine health monitoring. The implemented logic supports informed maintenance decisions based on observed trends in sensor values.
Changes made
Implemented real-time engine temperature monitoring
Implemented vibration sensing for engine condition assessment
Added predictive analysis logic based on sensor value trends
Analyzed engine operating conditions to identify abnormal behavior
Generated maintenance-related suggestions based on analyzed data
Integrated sensor data acquisition
Purpose / Use Case
The Engine Monitoring System can be used in:
Engine health and condition monitoring systems
Predictive maintenance applications
Automotive and industrial machinery monitoring
Early fault detection and maintenance planning