Automated Serial Device Integration for Low-Power Wearable MCUs
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Solution Overview
Problem
Current wearable devices experience high power consumption during data transfer from sensors to microcontroller units (MCUs) due to synchronous data transfer methods, which keep the MCU active, and this issue is exacerbated by increasing data volumes and sensor integration.
Innovation Solution
Implementing asynchronous data transfer techniques where the MCU remains inactive during data transfer from sensors to memory by using hardware components to read and write data to RAM, triggered by sensor interrupts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If synchronous data transfer is used, then data transfer reliability is improved, but power consumption increases
Solution Approach 1:
The data transfer process is segmented into two independent parts: (1) hardware-level data transfer from sensor to RAM, and (2) software-level data processing by the MCU. This segmentation allows the MCU to remain in low-power mode while hardware handles the transfer, reducing overall power consumption while maintaining transfer reliability through dedicated hardware protocols.
Solution Approach 2:
A hardware intermediary layer is introduced between the sensor and the MCU. This hardware component acts as a mediator that automatically manages data transfer and buffer management, enabling asynchronous operation where the MCU does not need to remain active during transfer, thus reducing power consumption while ensuring reliable data delivery.
2Speed
If the MCU remains active during data transfer, then data transfer speed is improved, but power consumption increases
Solution Approach 1:
Data transfer is initiated and executed in advance by hardware components before the MCU needs to process the data. The hardware automatically transfers data from the sensor to RAM using pre-configured protocols and buffers, eliminating the need for the MCU to remain active during transfer, thus reducing power consumption while maintaining transfer speed through dedicated hardware pathways.
Solution Approach 2:
The system implements periodic data transfer cycles where the MCU activates only when data is ready for processing. Hardware continuously monitors and transfers data in the background, allowing the MCU to enter low-power states between processing cycles, thereby reducing overall power consumption while maintaining efficient data transfer throughput.
3Adaptability or versatility
If more sensors are integrated, then device functionality is improved, but data transfer complexity increases
Solution Approach 1:
A universal hardware data transfer interface is implemented that can handle multiple sensor types through a common protocol and buffer structure. This multi-functional hardware layer abstracts the complexity of interfacing with different sensors, allowing the MCU to remain simple while supporting diverse sensor integration through standardized hardware routines.
Solution Approach 2:
The hardware data transfer system is designed to be self-sufficient, automatically managing data acquisition, buffering, and transfer from multiple sensors without requiring continuous MCU intervention. Each sensor interface is equipped with autonomous data transfer capabilities, reducing the overall system complexity by distributing intelligence to the hardware level rather than concentrating it in the MCU.
Data Source
AI summary
Methods, systems, and devices for automated serial device integration to a microcontroller unit (MCU) of a wearable device are described. Hardware (HW) components of the MCU of the wearable device may receive an interrupt command from sensors of the wearable device via one or more buses during a time interval that processing components of the MCU are in an inactive state. The HW components may perform a read operation to read data from a preconfigured buffer address of the sensors during the time interval that the one or more processing components are in the inactive state and based on receiving the interrupt command. The HW components may then perform a write operation to write the data to a preconfigured memory address of the memory during the time interval that the one or more processing components are in the inactive state.