The application provides a low-
power consumption control method of a GPS module. Through data fusion of a
gyroscope and GPS, precise
perception of the motion state of the device is realized, and in combination with dynamic
frequency modulation technology and hardware-level
power control, the
system power consumption is significantly reduced under the premise of ensuring positioning accuracy and real-time performance. The application detects the
angular velocity change of the device in real time through the
gyroscope, determines the device in a motion, low-speed movement or static state in combination with GPS position information. The GPS sampling period is dynamically adjusted according to the state division result. The sliding window
algorithm is adopted to smooth the rate fluctuation, the multi-threshold
hysteresis mechanism is combined to avoid state misjudgment, and a mathematical optimization model is constructed to iteratively optimize the
control parameters, so that the balance between
power consumption and performance is realized. Through hardware-level
power control, zero power consumption in the static state is realized. In the long-endurance demand scenarios such as
Internet of Things devices, wearable devices, field animal research, etc., the average power consumption of the GPS module can be greatly reduced while maintaining high positioning accuracy.