An intelligent geo-acoustic sensor, comprising a geo-acoustic sensing unit, an automatic gain and acoustic-electric conversion unit, an RC filtering network unit, an analog-to-digital conversion unit, an intelligent sensing filter unit and a photoelectric conversion unit, wherein the geo-acoustic sensing unit, the automatic gain and acoustic-electric conversion unit, the RC filtering network unit, the analog-to-digital conversion unit, the intelligent sensing filter unit and the photoelectric conversion unit are connected to each other in a communication mode;
- wherein the geo-acoustic sensing unit acquires multi-band geo-acoustic signals;
- the automatic gain and acoustic-electric conversion unit is configured for converting a geo-acoustic signal into an analog signal, and performing initial adjustment on the analog signal to realize a fast response of a weak signal gain;
- the RC filtering network unit is configured for truncating the analog signal in a frequency domain to complete preliminary filtering;
- the analog-to-digital conversion unit is configured for converting the analog signal into a digital signal;
- the intelligent sensing filter unit is configured for performing denoising and filtering processing on the digital signal;
- and
- the photoelectric conversion unit is configured for converting the digital signal into an optical signal,
- wherein a signal acquired by the intelligent geo-acoustic sensor is used for locating a geo-acoustic event according to steps of a geo-acoustic event location method comprising the following steps:
- S1:
- acquiring an observed value of a waveform characterization quantity of the geo-acoustic event, the waveform characterization quantity comprising:
- any combination of an arrival time time domain parameters, spectral information, and waveform shape of a geo-acoustic signal when a wave generated by a geo-acoustic event source reaches any monitoring point;
- S2:
- constructing a theoretical propagation difference model and an observed propagation difference model of the waveform characterization quantity between monitoring points, wherein a waveform characterization quantity difference value between two monitoring points is calculated;
- and
- S3:
- constructing an objective function based on the theoretical propagation difference model and the observed propagation difference model and obtaining a location of the geo-acoustic event by inversion based on the objective function.