A method and system for on-board detection of compaction degree based on big data
A detection method and detection system technology, which are applied to roads, buildings, analysis of solids using sonic/ultrasonic/infrasonic waves, etc., can solve problems such as lack of universal application value, insufficient compaction monitoring methods, and lack of universality. Achieve the effect of increasing the sample data base, facilitating monitoring, and enriching data samples
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[0033] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.
[0034] like figure 1 As shown, an on-board compaction detection system based on big data includes vibration sensors, dedicated controllers, data terminals, displays, cloud servers and cloud computing hosts. The present invention comprises the following steps:
[0035] S01: The vibration sensor collects the acceleration signal of the vibrating wheel in the soil, and performs AD conversion to convert the charge signal into a digital signal. It is necessary to understand the sensitivity, range, frequency response, resonant frequency, operating temperature, protection level, isolation mode, and AD conversion of the vibration sensor. Precision, output form, EMC index, installation form, system power...
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