WiFi Module Time-Division Power Management for IoT Stability
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Solution Overview
Problem
WiFi modules in systems with strict power consumption restrictions, such as IoT applications, face instability and malfunction due to high power consumption events that exceed the available power supply, leading to insufficient power for other modules.
Innovation Solution
Implementing a time-divisional operation for high-power consumption processes, where the WiFi module divides tasks into sub-processes with predetermined interval periods to reduce average current consumption, and a handshake mechanism with a control module to manage power supply settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the WiFi module operates continuously in active mode to handle high-power consumption events, then the processing performance is improved, but the power consumption exceeds the supply limit causing system instability
Solution Approach 1:
The patent segments continuous high-power processing tasks into discrete time-divisional slots, allowing the WiFi module to process data in periodic intervals rather than continuously. This segmentation enables the module to meet processing requirements while allowing power consumption to fluctuate within acceptable limits, preventing power supply overload.
Solution Approach 2:
The patent implements periodic action by establishing a time-divisional operation mechanism where the WiFi module alternates between active processing periods and idle periods. During active periods, the module handles high-power consumption events; during idle periods, power consumption drops below the supply limit. This periodic pattern ensures both processing performance and power supply stability.
2Reliability
If the WiFi module reduces power consumption by avoiding continuous active operation, then power supply stability is improved, but the ability to handle high-power consumption events deteriorates
Solution Approach 1:
The patent applies preliminary action by detecting and identifying high-power consumption events before they occur, then proactively allocating time-divisional slots for processing. This advance preparation ensures that when events occur, the WiFi module is already configured to handle them appropriately, maintaining both system stability and event handling capability.
Solution Approach 2:
The patent implements dynamics by making the WiFi module's operational state adaptive rather than static. The module dynamically adjusts its activity level based on event detection and system power conditions, switching between active and idle states as needed. This dynamic behavior allows the system to maintain stability while preserving the ability to handle events when power is available.
3Productivity
If the WiFi module processes all events continuously, then the processing completeness is improved, but other modules in the system suffer from power deficiency
Solution Approach 1:
The patent applies local quality by differentiating the operational requirements of different modules. The WiFi module is allocated specific time-divisional slots for high-power processing, while other modules operate continuously with stable power supply. This localized quality assignment ensures that power-intensive WiFi operations do not deprive other modules of necessary power, maintaining overall system reliability.
Solution Approach 2:
The patent segments the system's power consumption into distinct temporal regions, assigning high-power WiFi processing to specific segments while reserving other segments for stable power distribution to all modules. This segmentation of power allocation ensures processing completeness for WiFi events while preventing power deficiency for other modules during their operational segments.
Data Source
AI summary
The present application provides a method for a WiFi module and system of the same. The method including: determining whether a specific process is a high-power consumption event; and when the specific process is determined as the high-power consumption event, performing a time-divisional operation upon the specific process. The present application further provides another method for a WiFi module, including: determining whether a specific process is a high-power consumption event; and when the specific process is determined as the high-power consumption event, estimating a first power consumption request information and transmitting the information to a control module of a local end; and receiving a first response corresponding to the first power consumption request information from the control module.