A method and device for adaptive sampling of analog signals

Abstract

The invention discloses a method and a device for self-adaptive sampling of an analog signal. The method comprises the steps of: acquiring analog signals output by a sensor, and performing signal conditioning; determining a digital quantity obtained by sampling of the analog signals under a designated analog-to-digital conversion frequency and an acquisition timestamp; determining a threshold value for analog-to-digital conversion frequency adjustment of acquired signals; determining difference degrees between the currently acquired signal and the signals acquired at a plurality of previous sampling moments; and determining a new sampling frequency according to the determined difference degrees, the analog-to-digital conversion frequency at the moment, and the threshold value of the analog-to-digital conversion frequency adjustment. Through adoption of the method and the device of the invention, a sampling rate of a data acquisition device is dynamically adjusted according to a relative variation ratio of sampling data, and a sampling frequency is iteratively adjusted on the condition of not measuring the sampling frequency, therefore, accuracy of sampling is ensured, and unnecessary sampling data is reduced.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to an analog signal self-adaptive sampling method and device. Background technique [0002] In industrial production and testing sites, it is often necessary to use various types of sensors that output analog signals to monitor various parameters and indicators in the production process. For example, in automobile brake experiments, temperature sensors, pressure sensors, pedal force sensors, displacement sensors and other sensors are widely used. Since the frequency of the sensor signal cannot be determined, traditional data acquisition devices generally use twice the estimated maximum signal frequency for sampling. However, under normal working conditions, the frequency of the sensor signal is far lower than the estimated maximum signal frequency, and most of the sampled data is unnecessary. In wireless data acquisition devices that focus on power consumption, collecting and tran...

AI Technical Summary

Problems solved by technology

In wireless data acquisition devices that focus on power consumption, collecting and transmitting unnecessary sampling data will occupy most of the system power consumption, reduce system working time, and increase system maintenance costs (battery replacement, etc.)

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