Sampling frequency self-adaptive adjustable data acquisition method and system

Abstract

The invention discloses a sampling frequency self-adaptive adjustable data acquisition method. The method comprises the following steps: 1) setting acquisition duration time, an initial sampling frequency f0, a maximum sampling frequency fmax and a detection window length; 2) generating a sampling control signal according to the acquisition duration, the initial sampling frequency f0, the maximumsampling frequency fmax and the detection window length; 3) generating an excitation signal according to the control signal, and sending the excitation signal to a sensor; 4) enabling the sensor to collect data according to the excitation signal and output an analog signal; and 5) preprocessing the analog signal output by the sensor. According to the method and the system, the output signal of thesensor can be sampled by adaptively adjusting the sampling frequency, the real change condition of the measured target can be dynamically reflected in real time, and the effectiveness of data measurement is relatively high.

Description

technical field [0001] The invention belongs to the technical field of engineering monitoring, and relates to a data collection method and system with self-adaptive and adjustable sampling frequency. Background technique [0002] With the continuous development of science and technology, the application prospects of sensors are very broad, and they are widely used in industries, military affairs, electrical appliances and other fields. The data acquisition device of the sensor is also developing in the direction of intelligence, miniaturization and multi-function. However, the traditional sensor data acquisition device has a single function, especially the sampling frequency cannot be dynamically adjusted according to the change of the data source, resulting in the monitoring data not being able to reflect the real-time changes of the measured target in real time, and bringing hidden dangers of information loss to subsequent data processing. Contents of the invention [0...

AI Technical Summary

Problems solved by technology

However, the traditional sensor data acquisition device has a single function, especially the sampling frequency cannot be dynamically adjusted according to the change of the data source, resulting in the monitoring data not being able to reflect the real-time changes of the measured target in real time, and bringing hidden dangers of information loss to subsequent data processing

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