Complex Event Processing for Maritime Vessel Anomaly Detection
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Solution Overview
Problem
Current systems lack the capability to efficiently manage and detect maritime anomalies in real-time using AIS and other sensor data, leading to inefficiencies, compliance issues, and increased costs in maritime safety and security operations.
Innovation Solution
A framework for complex event processing that receives data from multiple sources, determines constraints for events-of-interest, and detects anomalies such as restricted zone violations and brushing incidents between vessels, using in-memory databases for real-time processing and notification systems for stakeholders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If AIS base stations and satellites are used to track maritime vessels, then vessel tracking capability is improved, but the volume of data to be processed increases enormously
Solution Approach 1:
The patent extracts and processes only the most relevant features from the enormous volume of AIS data, such as vessel position, speed, course, and trajectory patterns. By focusing on key navigational parameters rather than processing all raw data, the system reduces computational burden while maintaining effective monitoring capabilities.
Solution Approach 2:
The system performs preliminary processing of AIS data by pre-computing vessel trajectories, domains, and potential collision zones before actual collision detection is needed. This preliminary action includes establishing safety zones and predicting future positions, which reduces the complexity of real-time collision detection.
2Reliability
If real-time detection of maritime anomalies is implemented, then safety and security monitoring is improved, but system complexity increases
Solution Approach 1:
The patent segments the complex maritime monitoring task into distinct functional modules: data reception from AIS sources, vessel domain computation, trajectory prediction, collision zone detection, and anomaly classification. Each module handles a specific aspect of the monitoring process, making the overall system more manageable and maintainable despite its real-time capabilities.
Solution Approach 2:
The system introduces intermediary computational structures such as vessel domains (safety zones), predicted trajectories, and collision zones that mediate between raw AIS data and final collision detection. These intermediaries simplify the detection logic by providing structured representations of vessel states and potential hazards.
3Measurement precision
If comprehensive monitoring of all maritime vessels is performed, then detection accuracy is improved, but processing time increases
Solution Approach 1:
The patent applies partial action by focusing computational resources on vessels that are relevant to potential collisions. Instead of processing all vessel data uniformly, the system identifies and prioritizes vessels within mutual domains or predicted collision zones, processing their trajectories and positions with higher detail while using coarser processing for distant vessels.
Solution Approach 2:
The system performs preliminary computation of vessel domains and predicted trajectories in advance, before actual collision detection is required. This pre-computation includes calculating safety zones based on vessel dimensions and speeds, and predicting future positions based on current course and speed, thereby reducing the computational load during real-time detection.
Data Source
AI summary
Described herein is a technology for facilitating complex event processing for moving objects. In some implementations, data associated with moving objects is received from multiple data sources. One or more constraints associated with an event-of-interest are determined. The event-of-interest that satisfies the one or more constraints is detected based on the data. A notification of the detected event-of-interest may then be sent. For purposes of illustration, some specific complex event processing scenarios based on maritime vessels have been presented to demonstrate the capabilities of the present framework.