Hi hengyang,
I understand you have a query regarding a way to implementing signal calibration and observation after automatic code generation for DDS and SOME/IP.
The following approach can help you to get started:
- Step 1: Understand the Data Model
DDS: Learn the data model from IDL files, including topics, data types, and QoS policies.
SOME/IP: Review your application's service interfaces, focusing on methods, events, and IDs for message identification.
- Step 2: Automatic Code Generation
Utilize tools like RTI Connext (for DDS) or CommonAPI (for SOME/IP) to automatically generate code from IDL or service definitions, handling communication details.
- Step 3: Implement Calibration Logic
Define Parameters: Identify calibration parameters (offsets, scales, conversion factors) for each signal.
Calibration Function: Develop a function to apply these parameters to raw data, ensuring flexibility for different data types.
- Step 4: Integrate Calibration with Communication
DDS: Incorporate the calibration function into the DDS subscriber's callback or processing thread.
SOME/IP: Embed calibration logic on the client or server side as needed, ensuring raw data undergoes calibration.
- Step 5: Testing and Validation
Unit Testing: Create tests for the calibration function to verify accuracy across input ranges.
Integration Testing: Evaluate the entire system to confirm calibrated data is correctly utilized.
Real Data Validation: If possible, validate against real-world data to ensure real-world accuracy.
- Step 6: Deployment and Monitoring
Deploy the application with monitoring for the calibration logic, prepared for dynamic environmental changes.
