Multi-Modal Airport Surface Sensing With Adaptive Mode Switching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional monitoring systems for airport surfaces face limitations in monitoring accuracy, data processing speed, and real-time performance, which compromise safety and efficiency in air transportation, especially with the increasing complexity and volume of data requiring processing.
Innovation Solution
A system comprising a signal emission node, reception node, mode switching module, generation module, and detection module, utilizing 5G AeroMACS signals for multi-modal sensing and monitoring, which includes communication base stations, relay stations, and mobile stations to enhance target recognition accuracy and enable proactive event prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional monitoring systems (radars, cameras, sensors) are used for airport surface monitoring, then the system structure is relatively simple, but the monitoring accuracy and real-time performance are insufficient
Solution Approach 1:
The patent merges multiple sensing modalities (communication sensing, radar sensing, camera sensing) into a unified multi-modal sensing system. The communication base station integrates both communication functions and sensing functions, while coordinating with radar and camera systems to achieve comprehensive airport surface monitoring with improved accuracy and real-time performance.
Solution Approach 2:
The communication base station is designed with multi-functionality, serving both as a communication node and a sensing node. The same infrastructure supports multiple sensing modalities (communication-based sensing, radar, camera), reducing overall system complexity while enhancing monitoring capabilities through unified platform management.
2Area of stationary object
If conventional sensing and monitoring systems are deployed to handle increasing data volume from expanding airports and flight volumes, then coverage area increases, but data processing speed and real-time performance deteriorate due to latency and errors
Solution Approach 1:
The patent segments the sensing and processing functions across multiple distributed nodes (communication base stations, relay stations, mobile stations). Each node performs local sensing and preliminary processing, reducing the burden on centralized systems and enabling parallel processing of data from multiple sources, thereby maintaining real-time performance despite expanded coverage.
Solution Approach 2:
The patent introduces a multi-modal data fusion mechanism that acts as an intermediary between various sensing sources and the final monitoring output. This fusion layer efficiently integrates data from communication sensing, radar, and cameras, optimizing processing speed and reducing latency through intelligent data correlation and filtering.
3Measurement precision
If traditional monitoring systems are used, then device complexity is lower, but target recognition accuracy and anomaly prediction capability are insufficient
Solution Approach 1:
The patent combines multiple sensing modalities (communication sensing, radar sensing, optical sensing) into an integrated multi-modal system. By fusing data from these diverse sources, the system achieves superior target recognition accuracy and anomaly prediction capability that exceeds the sum of individual modalities, while managing complexity through unified system architecture.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides efficient and precise monitoring of airport surfaces, improving target recognition accuracy and enabling proactive prediction of anomalous events through intelligent data processing and adaptive operational modes.
Implementation Method 1
The signal emission node includes at least one of a communication base station and a communication relay station, and is configured to emit an emission signal to a target object. The signal reception node includes at least one of the communication base station, the communication relay station, and a communication mobile station, and is configured to receive a reception signal reflected by the target object.
Implementation Method 2
obtaining at least one of an emission signal emitted from the signal emission node, a signal reception delay at the signal reception node, a Doppler frequency shift of a signal travelling round-trip between the signal emission node and the signal reception node, and a reception angle
Data Source
AI summary
Disclosed are a system, a method, and a storage medium for multi-modal sensing and monitoring. The system comprises a signal emission node, a signal reception node, a mode switching module, a generation module, and a detection module. The signal emission node is configured to emit an emission signal to a target object. The signal reception node is configured to receive a reception signal reflected by the target object. The mode switching module is configured to select an operational mode for communication sensing based on a target region. The generation module is configured to generate a sensing spectrum based on the signal transmitted between the signal emission node, the signal reception node, and the target object. The detection module is configured to determine a sensing and monitoring result of the target object based on the sensing spectrum.