Sensor Data Acquisition in User Equipment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Communication devices, such as user equipment (UE), often have onboard sensors that are not effectively utilized in scenarios where capturing sensor data could be beneficial, limiting their usability and efficiency.
Innovation Solution
A method and apparatus for acquiring sensor data at UE, which involves receiving a request to activate sensors, activating them, receiving sensor data, determining if a sensor adjustment condition is met, and adjusting acquisition characteristics based on that condition, allowing for efficient data capture and communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If sensors are kept inactive to conserve energy, then energy consumption is reduced, but sensor data cannot be captured when needed
Solution Approach 1:
The system pre-configures sensor activation conditions and maintains sensors in a low-power ready state rather than fully inactive. When triggering conditions are met (such as detecting specific events or time-based thresholds), sensors quickly transition to active state to capture data, thus balancing energy conservation with capture capability.
Solution Approach 2:
The patent implements dynamic sensor management where activation characteristics (sampling rate, resolution, number of active sensors) are adjusted based on real-time conditions. The system transitions between different operational states (inactive, low-power monitoring, full activation) to optimize the trade-off between energy consumption and data capture quality.
2Use of energy by moving object
If sensor activation is made manual or conditional, then energy consumption is reduced, but response time increases
Solution Approach 1:
The system automatically monitors triggering conditions and activates sensors without requiring manual user intervention. When predefined conditions are met (such as detecting specific environmental thresholds, motion patterns, or time-based criteria), the system self-triggers sensor activation, eliminating delays associated with manual activation while maintaining energy efficiency.
Solution Approach 2:
The system pre-establishes activation conditions and maintains sensors in a partially-active monitoring state, enabling rapid response when triggering events occur. This preliminary configuration ensures that sensors are already prepared to capture data immediately when needed, reducing response time compared to fully manual activation systems.
3Reliability
If all sensors are activated continuously, then data capture completeness is improved, but energy consumption increases
Solution Approach 1:
The system segments sensor activation into selective groups based on the specific triggering conditions and required data types. Rather than activating all sensors continuously, the system activates only the necessary subset of sensors when specific conditions are met, maintaining data capture completeness for relevant parameters while significantly reducing overall energy consumption.
Solution Approach 2:
The patent dynamically adjusts sensor activation strategies based on real-time conditions, transitioning between different activation patterns (continuous, periodic, event-driven, manual) to optimize the balance between data capture completeness and energy consumption. The system adapts its behavior based on environmental factors, device state, and power availability.
Data Source
AI summary
The present application relates to acquiring sensor data at a user equipment (UE). The described aspects include receiving a first input representing a request to activate one or more sensors. The described aspects further include activating, by a controller at the UE, the one or more sensors in response to receiving the first input. Further, the described aspects include receiving the sensor data from each of the one or more sensors in response to activating the one or more sensors. The described aspects include determining whether a sensor adjustment condition has been satisfied. Additionally, the described aspects include adjusting an acquisition characteristic of the one or more sensors based on determining that the sensor adjustment condition has been satisfied.