Flow Line Detection Data Distribution via Area Correlation
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Solution Overview
Problem
Existing flow line detection processing for multiple mobile bodies in a wide area faces challenges in associating mobile body positions and IDs due to increased combinations, leading to decreased precision when using existing data distribution methods, as these methods do not effectively account for analysis precision and require both position and ID information for accurate detection.
Innovation Solution
A flow line detection process data distribution system that calculates the degree of correlation between sensor data from different unit areas to determine divided areas and classifies sensor data accordingly, ensuring that each computation unit receives data for precise flow line detection processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing data distribution methods are used for flow line detection in wide areas, then the processing load is distributed to multiple computation units, but the detection precision decreases due to increased combinations of mobile body positions and IDs
Solution Approach 1:
The monitoring area is divided into multiple divided areas, and sensor data is distributed to different computation units based on the mobile body's current location. This segmentation allows each computation unit to process only relevant data for its assigned area, maintaining detection precision while enabling parallel processing across multiple units.
Solution Approach 2:
Different computation units are assigned different divided areas with local data processing responsibilities. Each computation unit maintains high detection precision for its local area by processing only the sensor data relevant to that specific region, rather than processing all data globally.
2Ease of operation
If all sensor data is distributed to each computation unit, then each unit can independently process data, but the data transmission volume and processing overhead increase significantly
Solution Approach 1:
Each computation unit receives only the sensor data relevant to its assigned divided area, not all sensor data from the entire monitoring region. This reduces data transmission volume while maintaining the ability to independently process and detect mobile bodies within its local area.
3Productivity
If the monitoring area is divided into smaller units, then data distribution becomes more manageable, but the complexity of area division and data routing increases
Solution Approach 1:
The monitoring area is segmented into divided areas, and each computation unit is assigned specific areas to monitor. This segmentation improves data distribution efficiency by reducing the data volume each unit must handle, while the system manages the segmentation complexity through automated area assignment based on mobile body location.
Data Source
AI summary
There is provided a flow line detection process data distribution system which can distribute data detected from a mobile body to precisely perform flow line detection when flow line detection is realized by distribution processing. An area processing means 92 calculates for each combination which is a combination of unit areas used as constituent units of divided areas upon determination of the divided areas obtained by dividing the predetermined area and which is obtained by combining two different unit areas a degree of correlation which indicates a degree that sensor data related to an identical mobile body is detected, and determines the divided areas obtained by dividing the predetermined area based on the calculated degree of correlation. A data distribution means 93 classifies the sensor data stored in the data storage means 91 depending on in which divided area the sensor data is detected, and outputs the classified sensor data to different flow line detection process units.