Infrastructure Radio Wave Sensor Self-Recovery Mechanism
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Solution Overview
Problem
Infrastructure radio wave sensors used for traffic monitoring often fail to detect objects accurately due to dirt on the transmission and reception surfaces, positional or angular misalignment, and construction in the detection area, leading to delayed recovery from abnormalities and impaired traffic monitoring.
Innovation Solution
The infrastructure radio wave sensor includes a generation unit that generates reflected wave data from radio waves emitted to both a constant and a varying object, an object detection unit that detects the varying object based on reference data, an abnormality detection unit that identifies detection-related abnormalities, and a recovery unit that updates reference data to recover from abnormalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the infrastructure radio wave sensor operates continuously without recovery mechanisms, then the device complexity is reduced, but the reliability deteriorates due to inability to recover from abnormalities
Solution Approach 1:
The sensor system performs self-diagnosis and self-recovery by automatically detecting abnormalities in reflected wave data and executing recovery processes without external intervention. The abnormality detection unit monitors detection results and the recovery unit automatically updates reference data when abnormalities are detected, enabling the system to restore normal operation autonomously.
Solution Approach 2:
The system implements a feedback mechanism where the abnormality detection unit continuously monitors the output of the object detection unit and provides feedback to the recovery unit. When abnormalities are detected in the reflected wave data or detection results, the feedback triggers the recovery process to update reference data, creating a closed-loop control system that maintains reliability.
2Reliability
If the sensor updates reference data frequently to recover from abnormalities, then the reliability improves, but the processing time increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and storing reflected wave data from constant objects before abnormalities occur. This pre-acquired data serves as the basis for reference data updates, allowing the system to quickly recover from abnormalities without needing to re-collect all data from scratch, thus reducing the time loss during recovery processes.
3Adaptability or versatility
If the sensor uses fixed reference data, then the device complexity is reduced, but the adaptability deteriorates when abnormalities occur in the detection environment
Solution Approach 1:
The reference data transitions from a fixed state to a dynamic state that can be automatically updated when abnormalities are detected. The recovery unit modifies the reference data based on new reflected wave data collected after abnormality recovery, allowing the system to adapt to changing environmental conditions such as dirt accumulation, positional shifts, or construction in the detection area.
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
This configuration enables the infrastructure radio wave sensor to effectively recover from abnormalities by updating reference data, ensuring continuous and accurate traffic monitoring.
Implementation Method 1
reflected waves that are radio waves emitted to a first object that is constantly present and a second object different from the first object and that are reflected from the first object and the second object
Data Source
AI summary
An infrastructure radio wave sensor includes: circuitry that, based on reflected waves that are radio waves emitted to a first object that is constantly present and a second object different from the first object and that are reflected from the first object and the second object, generate first reflected wave data representing information including a signal level of the reflected waves, detect the second object based on reference data representing information including a position of the first object and the first reflected wave data, detect a first abnormality that is an abnormality in a detection result obtained by the circuitry, and, in a case where the circuitry detects the first abnormality.