Multi-Core CPU System for Real-Time Animal Position Tracking
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Solution Overview
Problem
Current systems for monitoring animal behavior and position in real-time, especially in confined areas, face challenges in precision and data processing overload due to the high volume of data from multiple sensors and tags, leading to potential system overload and reduced accuracy.
Innovation Solution
A computer system utilizing a Central Processing Unit (CPU) with multiple cores to perform parallel processing, where one core handles real-time position indication and the other core analyzes animal behavior, along with noise reduction algorithms and a Kalman filter, to enhance precision and efficiency in data processing and filtration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors and reference tags are used to track animal positions, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent divides the system into distinct functional segments: multiple sensors for signal reception, reference tags for calibration, and animal tags for tracking. Each component operates independently but contributes to the overall position measurement system, allowing precision improvement without overwhelming complexity in any single component.
Solution Approach 2:
Reference tags serve as intermediaries between the sensors and animal tags. These fixed reference tags at known positions enable automatic calibration of the system, mediating the relationship between raw sensor signals and accurate position calculations, thereby improving measurement precision while maintaining manageable system complexity.
2Measurement precision
If high volume data from multiple sensors is processed, then measurement precision is improved, but productivity deteriorates due to system overload
Solution Approach 1:
The system performs preliminary actions by having reference tags continuously transmit calibration signals and sensors continuously monitor these signals before actual animal tracking begins. This preliminary calibration establishes a baseline that simplifies subsequent position calculations, allowing high-precision tracking without overwhelming processing loads during active monitoring.
Solution Approach 2:
The system maintains continuous transmission from reference tags and continuous monitoring by sensors, creating an ongoing calibration and measurement process. This continuous operation ensures that position indications remain precise without requiring periodic system resets or re-calibrations that would cause processing interruptions and reduce productivity.
3Productivity
If parallel processing with multiple CPU cores is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent segments data processing into distinct functional streams handled by different CPU cores: one core processes position indications from sensors, another core processes behavior analysis from position data, and additional cores handle communication and calibration. This segmentation increases processing capacity while keeping each individual core's task relatively simple and well-defined.
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 achieves precise real-time position tracking and behavior analysis of multiple animals, capable of handling high data volumes with fast and effective filtration, reducing noise and ensuring accurate activity detection, even with large numbers of animals.
Implementation Method 1
The system is based of real time position of the animals determine behaviour of the animals, which system receives input from a plurality of sensors, which sensors communicates at least with radio receiver/transmitter tags carried by the animals
Implementation Method 2
which system based of measurement of delay in radio communication between the radio receiver/transmitter tags and the sensors calculates the actual position of the animals
Data Source
AI summary
The present invention relates to a computer system for measuring real time position of a plurality of animals, which system receives input from a plurality of sensors, communicating with at least tags carried by the animals, which system based of measurement of delay in radio communication calculates the actual position of the animals. It is the first object of the invention to achieve real time position of animals in a limited area. A further object is based of the real time position to analyze the behavior of each of the animals. The sensors further performs communication with a plurality of reference tags, and performs a calibration of the real time position measured by the system, which system comprises a CPU with at least two cores, which system divides the data processing in a first real time position processing in the first core of the processor, and into a second processing of the activity of the animals performed in the second core of the processor. By using fixed reference tags together with tags, it the computer system performs an automatic calibration of all received signals from animals.