CN-121808350-B - Sensor signal buffering method and system for high impact scene

CN121808350BCN 121808350 BCN121808350 BCN 121808350BCN-121808350-B

Abstract

The invention relates to the technical field of sensor signals, in particular to a sensor signal buffering method and system for a high-impact scene. The method comprises the steps of obtaining sensor operation data to conduct sensor signal state identification and sensor impact identification, respectively generating sensor signal state data and sensor impact data, conducting sensor impact and signal coupling disturbance analysis based on the sensor impact data and the sensor signal state data to generate sensor impact-signal coupling disturbance data, conducting sensor signal multichannel collaborative buffer processing according to the sensor impact-signal coupling disturbance data to generate sensor signal multichannel collaborative buffer data, and conducting sensor buffer signal fluctuation and attenuation analysis and sensor signal buffer stabilization and enhancement processing according to the sensor signal multichannel collaborative buffer data. The invention realizes the sensor signal buffering of the high impact scene.

Inventors

LIU XIN
DING CHANGCHUN
FAN TAO
XU JIANGYAN
WANG XIAOWEI
LIU JUN

Assignees

青岛智腾微电子有限公司

Dates

Publication Date: 20260508
Application Date: 20260310

Claims (7)

1. A method of buffering sensor signals for high impact scenes, comprising the steps of: Step S1, acquiring sensor operation data, and carrying out sensor signal state identification according to the sensor operation data to generate sensor signal state data; step S2, carrying out sensor impact recognition according to the sensor operation data to generate sensor impact data, carrying out sensor impact and signal coupling disturbance analysis based on the sensor impact data and the sensor signal state data to generate sensor impact-signal coupling disturbance data; wherein, step S2 includes the following steps: S21, carrying out sensor impact recognition according to sensor operation data, generating sensor impact data, carrying out impact characteristic analysis of the sensor according to the sensor impact data, and generating impact characteristic data of the sensor; S22, extracting sensor signal characteristics according to the sensor signal state data to generate sensor signal characteristic data; s23, carrying out sensor signal multichannel communication relation analysis according to the sensor signal characteristic data to generate sensor signal multichannel communication relation data; s24, performing sensor collision and signal coupling disturbance analysis based on impact characteristic data of the sensor and sensor signal multi-channel communication relation data to generate sensor collision-signal coupling disturbance data; wherein, step S24 includes: s241, performing impact strength and angle positioning of the sensor according to impact characteristic data of the sensor to generate impact strength-angle data of the sensor; Step S242, vibration frequency and rotation change identification of the sensor is carried out according to the impact strength-angle data of the sensor, and vibration frequency-rotation change data is generated; Step S243, multi-signal switching frequency and channel path analysis of the sensor are carried out according to the multi-channel communication relation data of the sensor signals, and multi-signal switching frequency-channel path data are generated; step S244, carrying out sensor signal multichannel phase drift analysis on the multichannel switching frequency-channel path data based on the vibration frequency-rotation change data to generate sensor signal multichannel phase drift data; step S245, sensor collision and signal coupling disturbance analysis is carried out based on vibration frequency-rotation change data and sensor signal multichannel phase drift data, and sensor collision-signal coupling disturbance data are generated; s3, carrying out sensor signal multichannel collaborative buffering according to sensor collision-signal coupling disturbance data to generate sensor signal multichannel collaborative buffering data; Wherein, step S3 includes the following steps: S31, carrying out sensor signal disturbance time sequence analysis according to sensor collision-signal coupling disturbance data to generate sensor signal disturbance time sequence data; S32, carrying out signal receiving and transmitting position change and signal overlapping identification corresponding to sensor impact according to sensor signal disturbance time sequence data to generate signal receiving and transmitting position change-signal overlapping data; S33, carrying out multi-signal misorder analysis corresponding to sensor impact according to the signal receiving and transmitting position change-signal overlapping data to generate multi-signal misorder data corresponding to the sensor impact; step S34, carrying out sensor signal multichannel collaborative buffer processing based on signal receiving and transmitting position change-signal overlapping data and multi-signal error sequence data corresponding to sensor impact to generate sensor signal multichannel collaborative buffer data; s4, carrying out sensor buffer signal fluctuation and attenuation analysis according to the sensor signal multichannel collaborative buffer data to generate sensor buffer signal fluctuation-attenuation data; and S5, carrying out sensor signal buffering stabilization and enhancement processing according to the sensor buffer signal fluctuation-attenuation data to generate sensor signal buffering stabilization-enhancement data.
2. The method of buffering sensor signals for high impact scenes according to claim 1, wherein step S1 comprises the steps of: Step S11, acquiring sensor operation data, and carrying out sensor signal noise reduction and baseline correction processing according to the sensor operation data to generate sensor signal noise reduction-baseline correction data; step S12, carrying out time domain and frequency domain analysis of the sensor signal according to the sensor signal noise reduction-baseline correction data to generate sensor signal time domain-frequency domain data; Step S13, carrying out sensor signal phase synchronization calibration according to the sensor signal time domain-frequency domain data to generate sensor signal phase synchronization data; and S14, carrying out sensor signal state identification according to the sensor signal phase synchronization data to generate sensor signal state data.
3. The method of buffering sensor signals for high impact scenes according to claim 1, wherein step S33 comprises the steps of: step S331, carrying out sensor signal frequency and path change identification according to signal receiving and transmitting position change-signal overlapping data to generate sensor signal frequency-path change data; Step S332, carrying out sensor signal and channel cross interference mapping identification according to the sensor signal frequency-path change data to generate sensor signal-channel cross interference mapping data; S333, carrying out sensor signal and channel aliasing recombination analysis according to the sensor signal-channel cross interference mapping data to generate sensor signal-channel aliasing recombination data; Step S334, performing multi-signal misorder analysis corresponding to sensor impact according to the sensor signal-channel aliasing recombination data, and generating multi-signal misorder data corresponding to the sensor impact.
4. The method of buffering sensor signals for high impact scenes according to claim 1, wherein step S34 comprises the steps of: Step S341, performing sensor signal separation and spectrum reconstruction processing according to the signal receiving and transmitting position change-signal overlapping data to generate sensor signal separation-spectrum reconstruction data; Step S342, performing sensor signal time sequence recovery positive and channel alignment processing according to the multi-signal error sequence data corresponding to sensor impact to generate sensor signal time sequence recovery-channel alignment data; step S343, performing disturbance fluctuation characteristic analysis of the sensor signal under the corresponding impact state based on the sensor signal separation-spectrum reconstruction data and the sensor signal time sequence recovery-channel alignment data, and generating disturbance fluctuation characteristic data of the sensor signal under the corresponding impact state; step S344, performing sensor signal multi-channel collaborative buffering processing on the sensor signal timing recovery-channel alignment data based on the disturbance fluctuation characteristic data of the sensor signal in the corresponding impact state, so as to generate sensor signal multi-channel collaborative buffering data.
5. The method of buffering sensor signals for high impact scenes according to claim 1, wherein step S4 comprises the steps of: s41, carrying out time domain and waveform decomposition of a sensor buffer signal according to the sensor signal multichannel collaborative buffer data to generate time domain-waveform data of the sensor buffer signal; Step S42, carrying out peak value attenuation and oscillation period analysis of a sensor signal according to time domain-waveform data of the sensor buffer signal to generate peak value attenuation and oscillation period data of the sensor signal; s43, detecting nonlinear fluctuation characteristics of a sensor buffer signal according to peak attenuation-oscillation period data of the sensor signal, and generating nonlinear fluctuation characteristic data of the sensor buffer signal; and S44, carrying out sensor buffer signal fluctuation and attenuation analysis based on the sensor buffer signal nonlinear fluctuation characteristic data and the sensor signal peak attenuation-oscillation period data, and generating sensor buffer signal fluctuation-attenuation data.
6. The method of buffering sensor signals for high impact scenes according to claim 1, wherein step S5 comprises the steps of: step S51, carrying out sensor signal time-frequency domain mapping conversion processing according to sensor buffer signal fluctuation-attenuation data to generate sensor signal time-frequency domain mapping conversion data; Step S52, carrying out sensor multi-signal and channel characteristic fusion processing according to the sensor signal time-frequency domain mapping conversion data to generate sensor multi-signal-channel characteristic fusion data; And step S53, performing sensor signal buffering stabilization and enhancement processing based on the sensor signal time-frequency domain mapping conversion data and the sensor multi-signal-channel characteristic fusion data to generate sensor signal buffering stabilization-enhancement data.
7. A sensor signal buffering system for a high impact scene, for performing the sensor signal buffering method for a high impact scene according to claim 1, comprising: the signal identification module is used for acquiring sensor operation data, carrying out sensor signal state identification according to the sensor operation data and generating sensor signal state data; The collision and signal coupling analysis module is used for carrying out sensor impact recognition according to the sensor operation data to generate sensor impact data; performing sensor impact and signal coupling disturbance analysis based on the sensor impact data and the sensor signal state data to generate sensor impact-signal coupling disturbance data; The signal buffer module is used for carrying out sensor signal multichannel collaborative buffer processing according to the sensor collision-signal coupling disturbance data to generate sensor signal multichannel collaborative buffer data; the buffer signal fluctuation attenuation analysis module is used for carrying out sensor buffer signal fluctuation and attenuation analysis according to the sensor signal multichannel collaborative buffer data to generate sensor buffer signal fluctuation-attenuation data; and the buffer signal stability enhancing module is used for carrying out buffer stability and enhancing processing on the sensor signal according to the fluctuation-attenuation data of the sensor buffer signal to generate buffer stability-enhancing data of the sensor signal.

Description

Sensor signal buffering method and system for high impact scene Technical Field The invention relates to the technical field of sensor signals, in particular to a sensor signal buffering method and system for a high-impact scene. Background Along with the large-scale deployment of sensors in intelligent equipment, industrial detection, aerospace craft and other systems under high-impact and high-vibration environments, the stable acquisition and effective buffering of sensor signals under complex physical disturbance conditions are ensured, and the stable acquisition and effective buffering of the sensor signals become an important guarantee for the reliable operation of the systems. In the prior art, signal interference caused by sensor impact is generally treated by adopting modes such as signal filtering, channel redundancy, data buffering and the like, obvious limitation exists in the process of processing dynamic disturbance, when the sensor encounters sudden impact, rapid vibration or directional rotation change in the running process, the problems of signal misordering, overlapping, amplitude distortion, path deviation and the like easily occur, signal interpretation confusion or inter-channel interference increase are caused, and especially in the application of multi-channel coordination, the coupling disturbance among signal sources can further amplify the signal misorder degree. Disclosure of Invention Based on this, the present invention provides a method and a system for buffering sensor signals for high impact scenes, so as to solve at least one of the above technical problems. To achieve the above object, a sensor signal buffering method for a high impact scene includes the steps of: Step S1, acquiring sensor operation data, and carrying out sensor signal state identification according to the sensor operation data to generate sensor signal state data; step S2, carrying out sensor impact recognition according to the sensor operation data to generate sensor impact data, carrying out sensor impact and signal coupling disturbance analysis based on the sensor impact data and the sensor signal state data to generate sensor impact-signal coupling disturbance data; s3, carrying out sensor signal multichannel collaborative buffering according to sensor collision-signal coupling disturbance data to generate sensor signal multichannel collaborative buffering data; s4, carrying out sensor buffer signal fluctuation and attenuation analysis according to the sensor signal multichannel collaborative buffer data to generate sensor buffer signal fluctuation-attenuation data; and S5, carrying out sensor signal buffering stabilization and enhancement processing according to the sensor buffer signal fluctuation-attenuation data to generate sensor signal buffering stabilization-enhancement data. Further, step S1 includes the steps of: Step S11, acquiring sensor operation data, and carrying out sensor signal noise reduction and baseline correction processing according to the sensor operation data to generate sensor signal noise reduction-baseline correction data; step S12, carrying out time domain and frequency domain analysis of the sensor signal according to the sensor signal noise reduction-baseline correction data to generate sensor signal time domain-frequency domain data; Step S13, carrying out sensor signal phase synchronization calibration according to the sensor signal time domain-frequency domain data to generate sensor signal phase synchronization data; and S14, carrying out sensor signal state identification according to the sensor signal phase synchronization data to generate sensor signal state data. Further, step S2 includes the steps of: S21, carrying out sensor impact recognition according to sensor operation data, generating sensor impact data, carrying out impact characteristic analysis of the sensor according to the sensor impact data, and generating impact characteristic data of the sensor; S22, extracting sensor signal characteristics according to the sensor signal state data to generate sensor signal characteristic data; s23, carrying out sensor signal multichannel communication relation analysis according to the sensor signal characteristic data to generate sensor signal multichannel communication relation data; and S24, performing sensor collision and signal coupling disturbance analysis based on the impact characteristic data of the sensor and the sensor signal multichannel communication relation data to generate sensor collision-signal coupling disturbance data. Further, step S24 includes the steps of: s241, performing impact strength and angle positioning of the sensor according to impact characteristic data of the sensor to generate impact strength-angle data of the sensor; Step S242, vibration frequency and rotation change identification of the sensor is carried out according to the impact strength-angle data of the sensor, and vibration frequency-rotation change data is generated; Ste