Synaptic Neural Network Core Sensor System Intermittent Power
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Solution Overview
Problem
Existing sensor systems require continuous power supply, which leads to higher power demand and reduced speed due to the need for processors to manage sensor data, making them inefficient for detecting physical conditions in resource-constrained environments.
Innovation Solution
A sensor system incorporating an energy storage device with an intermittent energy release mechanism, a synaptic neural network core, and a transponder, where the energy storage device intermittently powers a sensor, allowing the synaptic neural network core to convert sensor readings into synthetic event identifiers for transmission, optimizing power usage and reducing the need for continuous processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous power supply is used to sensor systems, then the system can continuously process and manage sensor data, but power consumption increases and processing speed decreases
Solution Approach 1:
The patent implements periodic action by using an intermittent energy release device that supplies power to the sensor in discrete pulses rather than continuously. The sensor operates during brief powered intervals, capturing physical events, then enters low-power states. This periodic powering reduces overall energy consumption while maintaining the ability to detect and report physical conditions through synthesized events that are transmitted during active periods.
2Extent of automation
If processors are used to manage sensor data, then data processing capability is improved, but processing speed decreases due to continuous management requirements
Solution Approach 1:
The patent extracts the processing function from traditional continuous processors and implements it through a synaptic neural network core that operates intermittently. The neural network core processes sensor readings to generate synthesized events only when needed, rather than continuously managing data. This extraction of the processing function to a more efficient neural architecture enables faster event generation while reducing the burden of continuous data management.
3Extent of automation
If processors continuously manage sensor data, then comprehensive data management is achieved, but system efficiency decreases
Solution Approach 1:
The patent implements self-service by using the sensor system's own intermittent energy release mechanism to trigger and power its own operation. The system autonomously manages its power cycles, activating the sensor and neural network core only when energy is released, and automatically synthesizing and transmitting events without external continuous management. This self-managing approach eliminates the need for external processors to continuously oversee data management, thereby improving overall system efficiency.
Data Source
AI summary
A sensor system comprises: an energy storage device electrically coupled to an intermittent energy release device that causes the energy storage device to release stored energy intermittently; a sensor electrically coupled to the energy storage device, where the sensor detects physical events occurring at a physical device and is intermittently powered by electrical energy received from the energy storage device; a synaptic neural network core electrically coupled to the sensor, where the synaptic neural network core converts sensor readings into an object that describes the physical events occurring at the physical device; a transponder electrically coupled to the synaptic neural network core; and a storage buffer within the transponder, where the storage buffer stores the object for transmission from the transponder to a monitoring system, where the intermittent energy release device provides power to the sensor in response to the transponder transmitting the object to the monitoring system.