Cargo Handling Self-Assessment via Sensor Calibration
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Solution Overview
Problem
Cargo handling systems for aircraft lack effective real-time self-assessment capabilities to detect failures in sensing agents and actuators, which can compromise operational safety, especially when humans are present in the aircraft envelope.
Innovation Solution
A method and system for self-assessment of cargo handling systems that involve a processor receiving sensor and actuator databases, performing calibration assessments to identify compromised operational status, and adjusting autonomous control levels based on the presence of humans and sensor/actuator failures, ensuring safety by reducing autonomous control when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous control is implemented in cargo handling systems, then productivity and operational efficiency are improved, but safety risks increase when sensing agents or actuators fail and humans are present in the aircraft envelope
Solution Approach 1:
The system continuously monitors the operational status of sensing agents and actuators through self-assessment mechanisms. The processor receives data from multiple sensing agents, compares actual readings against expected values, and generates feedback signals to detect failures. This feedback loop enables real-time identification of compromised components, allowing the system to maintain safe operation by adjusting autonomous control levels when failures are detected.
Solution Approach 2:
The system performs preliminary calibration assessments of sensing agents and actuators before they are fully operational. By pre-calibrating components and establishing baseline performance criteria, the system can quickly identify deviations from normal operation. This preliminary action ensures that failures are detected early, before they can compromise safety, while still allowing autonomous operation to proceed when components are functioning correctly.
2Measurement precision
If the number of sensing agents is increased to improve detection reliability, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system divides the monitoring function into multiple independent sensing agents distributed throughout the aircraft envelope. Each sensing agent independently monitors specific zones or parameters, and the processor aggregates data from all agents to form a comprehensive view of system status. This segmentation improves detection reliability by providing multiple independent data sources while managing complexity through modular, distributed architecture.
Solution Approach 2:
The sensing agents are designed with multi-functionality, capable of performing multiple sensing tasks (e.g., detecting presence, position, and status of various components) using the same hardware platform. This universality reduces overall system complexity by avoiding the need for specialized sensors for each function, while still achieving high detection reliability through the versatility of each individual agent.
3Reliability
If real-time self-assessment is implemented to detect failures, then reliability is improved, but use of energy increases due to continuous monitoring and calibration operations
Solution Approach 1:
The self-assessment system operates periodically rather than continuously, performing calibration assessments and failure detections at scheduled intervals. The processor alternates between monitoring mode (lower energy consumption) and assessment mode (higher energy consumption), conducting detailed calibration checks at predetermined times while maintaining continuous but lighter monitoring in between. This periodic operation maintains reliable failure detection while significantly reducing overall energy consumption compared to continuous full-assessment modes.
Data Source
AI summary
A method for self-assessing components of a cargo handling system configured for autonomous control by a processor is disclosed. In various embodiments, the method includes receiving by the processor a sensor database from a plurality of sensing agents in operable communication with the processor; testing by the processor the plurality of sensing agents by comparing the sensor database against a sensor assessment; and performing by the processor a first calibration assessment of the plurality of sensing agents to assess whether a compromised operational status of the cargo handling system has occurred due to a failure of one or more of the plurality of sensing agents.