Autonomous Weapon Surveillance Device with Real-Time Data Processing
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Solution Overview
Problem
Existing surveillance devices for weapon systems, such as missiles, are bulky, power-intensive, and have high memory requirements, making them unsuitable for military applications, and they cannot provide continuous and efficient monitoring of mechanical and climatic environments over long periods.
Innovation Solution
A compact, autonomous surveillance device with real-time data processing and reduced storage needs, incorporating sensors for mechanical and climatic parameters, and a power management system that extends battery life, allowing for continuous monitoring and summary reporting, and is designed for military conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all measured data are logged as raw data, then complete data retention is achieved, but storage volume and power consumption increase significantly
Solution Approach 1:
The patent extracts only the essential information from raw measured data by implementing real-time processing that identifies and logs only significant events or parameter thresholds. This selective logging approach retains critical data for reliability while dramatically reducing storage volume and associated power consumption for memory operations.
Solution Approach 2:
Instead of logging all raw data continuously, the system applies partial action by processing data in real-time and logging only when predetermined conditions are met (e.g., threshold exceedances, significant changes). This partial logging strategy maintains sufficient data for reliability assessments while minimizing storage and power requirements.
2Reliability
If all measured data are logged as raw data, then complete data retention is achieved, but storage volume increases significantly
Solution Approach 1:
The system extracts only meaningful information from raw measurements by implementing real-time processing that filters and logs only significant events. This extraction approach ensures complete retention of critical data for reliability while reducing overall storage volume requirements.
Solution Approach 2:
The patent changes the parameter representation by transforming raw measured values into processed indicators or threshold-based events. This parameter transformation reduces the volume of data that must be stored while preserving the essential information needed for reliability assessment.
3Use of energy by moving object
If real-time data processing is implemented, then storage volume and power consumption are reduced, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-defining threshold values, processing rules, and logging conditions during system design. This preliminary configuration allows the real-time processing to operate with simple, predetermined logic rather than complex adaptive algorithms, thereby reducing actual runtime complexity while maintaining energy efficiency.
Solution Approach 2:
The processing system operates autonomously using self-contained algorithms that require minimal external intervention. The device processes its own measured data in real-time using embedded logic, reducing the need for complex external processing infrastructure and simplifying the overall system architecture.
4Use of energy by moving object
If autonomous operation for 5-10 years is achieved, then power consumption is reduced, but device reliability under military conditions becomes more challenging
Solution Approach 1:
The patent implements periodic action through duty-cycling the processing and logging operations, where the system alternates between active measurement/processing periods and low-power sleep periods. This periodic operation significantly extends battery autonomy to 5-10 years while maintaining reliability by ensuring critical functions remain operational during active periods.
Solution Approach 2:
The system incorporates beforehand cushioning by designing with excessive power margin and implementing power management strategies that reserve capacity for critical operations. This approach cushions against power degradation over the 5-10 year period and ensures reliability even as battery capacity diminishes over time.
Data Source
AI summary
Aspects provide a surveillance device that is autonomous and includes data processing components which, in real time, process values measured by measurement components and transmit the results of processing operations to logging components for logging, the measurement components including elements that measure values of parameters representative of a mechanical environment and elements that measure values of parameters representative of a climatic environment. Aspects also include restitution components that enable restitution of the logged data and results of processing operations at any time.