Detection System Predicting Target Movement for Actuator Power Control
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Solution Overview
Problem
Existing management systems for electronic devices face challenges in efficiently controlling power consumption, leading to high energy usage due to prolonged activation of actuators, which is not optimized for efficient operation.
Innovation Solution
A detection system comprising detectors, actuators, and a processing device that establishes movement paths based on detection signals and historical data to predict the target's movement, allowing actuators to switch to low power states when not needed, thereby reducing unnecessary power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If actuators are activated continuously to ensure immediate response, then system reliability is improved, but power consumption increases
Solution Approach 1:
The system performs preliminary actions by predicting the target's future position using historical movement paths and detection signals. Actuators are activated in advance based on predicted trajectories, ensuring immediate response when the target arrives at the detection range while avoiding continuous activation. The processing device compares real-time detection signals with historical data to anticipate target movement and pre-activate actuators only when necessary.
2Reliability
If actuators remain in active state for extended periods, then system readiness is improved, but energy efficiency deteriorates
Solution Approach 1:
The system dynamically adjusts actuator states based on real-time detection signals and predicted target movement. Instead of maintaining a static active state, actuators transition between active and low-power states according to the target's actual trajectory. The processing device continuously updates predictions using detection signals and historical movement paths, activating actuators only during periods when the target is predicted to enter the detection range, thereby optimizing the balance between readiness and energy efficiency.
3Area of stationary object
If detection ranges are expanded to cover larger areas, then detection capability is improved, but the number of actuators required increases
Solution Approach 1:
The system uses historical movement paths stored in the storage device to predict future target positions within expanded detection ranges. By analyzing patterns in historical data and comparing them with current detection signals, the processing device identifies which actuators will be needed and activates them in advance. This approach enables coverage of large detection areas using fewer actuators, as they are activated selectively based on predicted target trajectories rather than being continuously deployed across the entire detection range.
Data Source
AI summary
A detection system and detection method are disclosed herein, the detection system includes a first detector, a second detector, an actuator and a processing device. The first detector and the second detector detect a target in a first detection range and a second detection range respectively, to generate a first detection signal and a second detection signal. The processing device establishes a detection movement path according to the first detection signal and the second detection signal, compares the detection movement path with a plurality of historical movement paths to select the historical movement path that best matches the detection movement path from the historical movement paths, and transmits a driving signal to the actuator in a third detection range when the processing device predicts that the target moves to the third detection range according to the best matching historical movement path.