Sensor weak signal data collecting method and device

Abstract

The invention discloses a sensor weak signal data collecting method and device. The segmented transmission of an electrical signal collected by a sensor is carried out according to data packet; the electrical signals collected by the sensor are differentially processed to obtain a differential signal, the differential threshold de-noising of the electrical signal is calculated, and the differential threshold is dynamically adjusted; therefore, the differential threshold can be dynamically adjusted when the sensor in a strong interference environment collects a weak electrical signal, and the previous differential threshold can be corrected to be close to the true value of the electrical signal. Therefore, the algorithm has good robustness and strong fault tolerance, which can make the datacollected in the strong interference environment be accurate, and is suitable for continuous collecting of signals by sensors of a low-speed embedded microprocessor.

Description

technical field [0001] The present disclosure relates to the technical field of sensor data acquisition, in particular to a method and device for acquiring weak signal data of a sensor. Background technique [0002] When using a low-speed embedded sensor to collect data in an environment with strong interference, due to the sensor itself and the signal source is very weak, and the environment with strong interference will produce currents, electric fields and magnetic fields with different signal strengths, frequencies and waveforms Interfering with the sensor, these electromagnetic fields will have a great impact on the normal operation of the sensor, especially the microprocessor C8051F300 or S3C44B0 of the sensor needs long-term continuous monitoring, so it runs at tens of MHz, which is very vulnerable to interference The possible noise sources are: 1. Baseline drift, low-frequency interference signal, the frequency range is 0.15-0.3Hz, the waveform is a sine wave curve, ...

AI Technical Summary

Problems solved by technology

[0003] Therefore, in the process of weak signal data collection, vibration interference, displacement interference and power frequency interference will reduce the signal-to-noise ratio of the sensor, and even completely cover the weak signal that needs to be collected, seriously affecting the sensor's ability to detect weak signals after collection. further analysis and processing

In order to filter various noises in weak signals, the existing methods mainly include: average filtering, frequency domain filtering, adaptive filtering, and the latest wavelet filtering, etc., but these methods are not suitable for sensors with low-speed embedded microprocessors. Signal collection, such as the ST-03A methane sensor using the embedded microprocessor MCF5307, the acceleration sensor of the embedded microcontroller STM32F101R8T6, various types of temperature sensors using the embedded microprocessor S3C44B0X and the gas sensor using the embedded microprocessor S3C44B0X

Images