Microcontroller Threshold Adjustment for Low-Power Sensing
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Solution Overview
Problem
Fixed threshold values in micro-controller circuits lead to frequent activation of back-end circuits, resulting in increased power consumption when sensing information varies across different environments.
Innovation Solution
A micro-controller circuit that includes a sensor circuit, processing circuit, storage circuit, and adjustment circuit, where the adjustment circuit uses a machine learning method to dynamically adjust threshold values based on sensed information, reducing unnecessary circuit activation and conserving power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by stationary object
If a fixed threshold value is used in the micro-controller circuit, then the circuit operation is simple and stable, but the back-end circuits are activated frequently, increasing power consumption
Solution Approach 1:
The patent implements dynamic threshold adjustment by introducing an adjustment circuit that modifies the reference voltage (threshold) based on environmental conditions. The threshold is no longer fixed but adapts dynamically to match the ambient temperature and other environmental parameters, thereby reducing unnecessary activations of the back-end circuit while maintaining operational simplicity.
Solution Approach 2:
The micro-controller circuit performs self-adjustment by using its own sensor resources to detect environmental conditions and automatically modify its threshold accordingly. The system serves itself by eliminating the need for external calibration or manual threshold setting, thereby reducing power consumption without increasing operational complexity.
2Adaptability or versatility
If a fixed threshold value is used, then the circuit structure is simple, but the circuit cannot adapt to different environments, causing frequent unnecessary activations
Solution Approach 1:
The adjustment circuit serves multiple functions: it senses environmental conditions through integrated sensors, processes this information, and dynamically adjusts the threshold accordingly. This multi-functionality enables the circuit to adapt to different environments without requiring separate calibration circuits or complex configuration systems.
Solution Approach 2:
The circuit implements a feedback mechanism where sensors continuously monitor environmental parameters (temperature, humidity, etc.), and the adjustment circuit uses this feedback to dynamically modify the threshold. This closed-loop system ensures the circuit adapts to environmental changes automatically, improving versatility while maintaining relatively simple structure.
3Reliability
If the back-end circuit is activated frequently to ensure accurate detection, then the detection accuracy is maintained, but the power consumption increases significantly
Solution Approach 1:
The dynamic threshold adjustment ensures that the activation criterion adapts to environmental conditions. When the environment is stable, the threshold prevents unnecessary activations. When environmental changes occur that warrant attention, the threshold adjusts to maintain detection sensitivity. This dynamic behavior maintains detection accuracy while significantly reducing power consumption by avoiding frequent unnecessary activations.
Data Source
AI summary
A micro-controller circuit including a sensor circuit, a processing circuit, a storage circuit, and an adjustment circuit is provided. The sensor circuit senses a physical parameter to generate sense information. The processing circuit performs an operation on the sense information to generate a processed signal. The storage circuit stores the processed signal and predetermined information. The adjustment circuit utilizes a machine learning method to process the processed signal stored in the storage circuit to generate a learning result. In response to the learning result not matching the predetermined information, the adjustment circuit adjusts the predetermined information.