Provide 3 possible implementations for Path Separation (Section 3.1.2.1.5)

 

Requirement

Path Separation (Section 3.1.2.1.5): Alternate or redundant functional paths shall be separate or protected such that any single credible event which causes the loss of one functional path will not result in the loss of the redundant functional path​.


Implementation Strategy

1.   Physical Path Separation:

·        Design Approach: Ensure redundant functional paths are physically separated. For instance, cables, buses, and hardware components must be routed along different physical pathways to mitigate single-point failures from physical damage (e.g., fire, impact, or radiation exposure).

·        Verification:

§  Conduct engineering drawing inspections to confirm physical separation.

§  Perform Failure Modes and Effects Analysis (FMEA) to validate that no single physical event impacts multiple paths.

2.   Logical Independence:

·        Design Approach: Implement software and logical diversity between redundant paths. Use independent software modules or distinct logic sequences to reduce the likelihood of common-mode failures caused by software bugs.

·        Verification:

§  Perform Software Hazard Analysis (SHA) to confirm logic and functional independence.

§  Conduct controlled fault injection tests to validate system responses.

3.   Electromagnetic Isolation:

·        Design Approach: Protect redundant paths from electromagnetic interference (EMI) through shielding, filtering, and ensuring adequate spacing between parallel signal lines.

·        Verification:

§  Use EMI/EMC testing (Electromagnetic Compatibility) to certify immunity to interference.

§  Inspect engineering schematics for compliance with spacing and shielding requirements.


Tools and Technologies

·        Design Tools: Computer-Aided Design (CAD) software for mapping physical pathways and ensuring separation.

·        Analysis Tools: FMEA and SHA tools such as ReliaSoft XFMEA or similar.

·        Testing Equipment: EMI/EMC compliance testing setups, e.g., anechoic chambers and spectrum analyzers.


 

Challenges

1.   Common Mode Failures:

·        MitigationEmploy diversity in hardware (e.g., different manufacturers for redundant components) and software (distinct programming languages or paradigms for logic paths).

2.   Cost and Complexity:

·        MitigationPrioritize separation for critical and catastrophic hazards, focusing on components directly tied to safety-critical functions.


 

References

·        SSP 50038 Rev B Section 3.1.2.1.5: Alternate or redundant functional paths​.

·        Verification Guidance: Engineering drawings and test results outlined in Section 4.3.1.2.1.5​.

 


 

Provide example Python code to implement Logical Independence for this requirement

 

Below is an example of Python code implementing logical independence for redundant control paths in a computer-based control system (CBCS). The design uses two separate logic modules for redundant paths, ensuring they process commands independently. Each path uses different logic to avoid common-mode software failures.

 

# Define redundant logic paths

def control_path_A(input_signal):

    """

    Control Path A: Uses a simple state machine approach.

    """

    if input_signal == "START":

        return "Path A: Starting process"

    elif input_signal == "STOP":

        return "Path A: Stopping process"

    else:

        return "Path A: Invalid command"

 

def control_path_B(input_signal):

    """

    Control Path B: Uses a conditional branching logic.

    """

    response_map = {

        "START": "Path B: Starting process",

        "STOP": "Path B: Stopping process"

    }

    return response_map.get(input_signal, "Path B: Invalid command")

 

# Define an independent decision arbiter

def decision_arbiter(input_signal):

    """

    Combines and evaluates the outputs of both paths.

    Ensures logical independence by processing each path's result separately.

    """

    result_A = control_path_A(input_signal)

    result_B = control_path_B(input_signal)

 

    # Verify consistency between paths before proceeding

    if "Invalid" in result_A or "Invalid" in result_B:

        return "Arbiter: Command rejected due to invalid input."

   

    if result_A == result_B:

        return f"Arbiter: Command executed successfully. [{result_A}]"

    else:

        return "Arbiter: Command conflict detected between paths."

 

# Main function to demonstrate logical independence

if __name__ == "__main__":

    # Simulate commands

    test_commands = ["START", "STOP", "INVALID"]

 

    for cmd in test_commands:

        print(f"\nProcessing command: {cmd}")

        print(decision_arbiter(cmd))

 


 

Explanation

 

1.   Logical Diversity:

·        control_path_A: Implements logic using a simple state machine.

·        control_path_B: Implements logic using a dictionary-based approach.

 

2.   Decision Arbiter:

·        Independently evaluates the results from both paths.

·        Validates the consistency of the outputs to ensure fault tolerance.

·        Rejects commands if there's a mismatch or invalid input.

 

3.   Testing:

·        The script demonstrates handling START, STOP, and invalid commands.

·        Ensures redundancy and highlights the importance of independent paths.

 

Use Case

This approach is applicable in safety-critical CBCS systems where redundancy is required to ensure system reliability. If one path fails or produces inconsistent results, the arbiter can flag the discrepancy, preventing hazardous conditions.

 

From <https://chatgpt.com/g/g-673c02f26f508191b93100a413ecb075-ideafier-ssp-50038-suggested-implementations>