Wireless Sensor Power Management via Adaptive Sampling
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Solution Overview
Problem
Wireless sensors in environmental control systems, such as HVAC, often have short sampling intervals that reduce battery life, leading to inefficient energy consumption and inadequate system control.
Innovation Solution
A method where a controller determines conditions such as changes in operating mode, setpoints, or environmental values to update parameters like sampling intervals and communication intervals of wireless sensors, optimizing their operation to conserve battery life while maintaining system control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the sampling interval is shortened to improve system control responsiveness, then the system control effectiveness is improved, but the battery life of the wireless sensor is reduced
Solution Approach 1:
The patent implements dynamic adjustment of the sampling interval parameter based on real-time system conditions. The controller monitors environmental parameters and system state, then adaptively modifies the sampling interval to match actual control needs. This resolves the contradiction by making the sampling frequency flexible rather than fixed, allowing short intervals when control responsiveness is critical and long intervals when battery conservation is prioritized.
Solution Approach 2:
The core solution involves changing the sampling interval parameter dynamically based on system conditions. The controller evaluates conditions such as environmental parameter stability, control mode requirements, and battery status, then adjusts the sampling interval parameter accordingly. This parameter change approach allows the system to optimize between control effectiveness and battery life by selecting appropriate sampling frequencies for different operational contexts.
2Duration of action of moving object
If the sampling interval is extended to conserve battery life, then the battery life is improved, but the system control responsiveness deteriorates
Solution Approach 1:
The system dynamically adjusts the sampling interval based on real-time conditions rather than using a fixed long interval. When the system detects conditions requiring responsive control (such as rapid environmental changes or critical control modes), it automatically shortens the sampling interval, thus maintaining control responsiveness while still achieving overall battery life improvement through extended intervals during stable conditions.
Solution Approach 2:
The controller continuously monitors system state and environmental parameters, using this feedback to determine appropriate sampling intervals. The feedback mechanism allows the system to detect when control responsiveness is needed and adjust the sampling interval accordingly, preventing the degradation of control performance that would result from consistently using extended sampling intervals.
3Manufacturing precision
If frequent parameter updates are implemented to maintain optimal control, then the control precision is improved, but the energy consumption increases
Solution Approach 1:
The system changes the sampling interval parameter dynamically based on control precision requirements and energy status. Rather than implementing frequent parameter updates continuously, the system updates parameters only when conditions warrant such changes, thus maintaining control precision while reducing unnecessary energy consumption from constant parameter modification and communication.
Solution Approach 2:
The system implements parameter updates selectively rather than continuously - using partial action only when control precision benefits are needed. The controller evaluates whether a parameter update will actually improve control outcomes before executing the update, avoiding excessive parameter changes that would consume energy without providing proportional control benefits.
Data Source
AI summary
A method for controlling an environment control system having a controller and a wireless sensor includes determining, at the controller, that a condition exists to initiate updating a parameter of the wireless sensor; determining, at the controller, an updated parameter in response to the condition; transmitting the updated parameter from the controller to the wireless sensor; storing, at the wireless sensor, the updated parameter.