Multi-source sensor combined trigger frequency conversion acquisition method and system

Abstract

The invention provides a multi-source sensor combined trigger frequency conversion acquisition method and system. The method comprises the following steps: acquiring signals by multiple sensors, outputting the signals to a hardware trigger module for threshold comparison, and outputting a result to a sensor data acquisition module; carrying out data acquisition on all sensors when hardware triggering or software triggering is received, and outputting the data to a frequency conversion acquisition algorithm module and a plurality of sensor data sets; obtaining a weight value through operation, enabling the acquisition countdown module to obtain a new acquisition time interval through a grading strategy for countdown, and ouputting a result to the priority sequence module; and acquiring sensor data according to the sequence. By adopting a trigger acquisition strategy of triggering various sensor data synchronous acquisition at one time, the problems of high power consumption, high cost, large data time sequence difference between sensors and the like under the condition of a multi-source sensor in geological disaster monitoring and early warning are solved, the overall power consumption of the system is reduced, the data time sequence difference between the sensors is reduced, and the analysis of the geological disaster forming mechanism in the later period is facilitated.

Description

technical field [0001] The invention relates to the field of geological disaster monitoring and early warning, in particular to a multi-source sensor combination trigger frequency conversion acquisition method and a system thereof. Background technique [0002] In the field of geological disaster monitoring and early warning, the formation process of natural disasters such as landslides and collapses is related to many physical quantities such as rainfall, water level, stress, inclination, vibration, cracks, gravity, etc. The relevant physical quantities mainly include inclination, vibration, cracks, stress, etc. In the monitoring and early warning of landslides, the physical quantities closely related to the monitoring and early warning of natural disasters of landslides mainly include rainfall, displacement, cracks, etc. The relevant physical quantities are different. [0003] At present, in the field of geological disaster monitoring and early warning, common monitoring ...

AI Technical Summary

Problems solved by technology

For independently operated equipment such as rainfall monitoring terminals, GNSS deformation monitoring terminals, crack deformation monitoring terminals, etc., the data obtained is the data of a single physical quantity, which does not have linkage; The collection interval of the device is adjusted by sending commands, which is affected by the scheduling algorithm and transmission medium, which has a large delay and high cost.

For the current conventional geological disaster monitoring and early warning equipment, its main defects are as follows: 1) The data obtained by the equipment that operates independently can only reflect the change of the physical quantity in time series. During the mechanism analysis, different devices will show the defect that the time series of data acquisition is inconsistent, which will affect the accuracy of the analysis results

2) The complex algorithm and high delay of the equipment running in the network control will increase the power consumption and cost, which is not conducive to the universality of the equipment

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