Soil mass structure evolution real-time online evaluation device and method based on driverless car

Abstract

The invention discloses a soil mass structure evolution real-time online evaluation device and method based on a driverless car. The device comprises the driverless car, a telescopic unit, a micro video image collection unit, a first signal receiver, a second signal receiver, and a remote control computer. The method comprises the steps of firstly establishing a micro video gray level image database, then establishing a corresponding relationship between substances and gray value intervals in the database, then making statistics on the number of pixels in the gray value interval representing each of the substances in a micro video gray level image, establishing the relationship between the number and a corresponding substance content and form thereof, and at last, determining actual characteristic parameters of a to-be-tested soil mass according to above relationship, thereby determining a development state of the soil mass. According to the soil mass structure evolution real-time online evaluation device and method based on the driverless car disclosed by the invention, site soil mass micro video evaluation is carried out directly, so the test precision is high; the micro video image is adopted, so that the identification on soil mass composition and evolution thereof is more accurate; and the device and the method can carry out wide-range long-term continuous real-time online monitoring on the soil mass in any region, thereby obtaining an evolution rule of the soil mass in the region.

Description

Technical field [0001] The invention relates to the field of soil evolution monitoring, in particular to a real-time online evaluation device and method for unmanned vehicle-mounted macro video images of soil structure evolution. Background technique [0002] At present, the monitoring of soil microstructure evolution mainly adopts the field test method based on manual measurement, but this method has low efficiency, low precision, and large artificial error. Because this method needs to transport the soil sample to be tested from the field back to the laboratory for testing; on the one hand, after the soil sample is taken out of the ground, the stress acting on it will change; on the other hand, the soil sample is During transportation, the nature of the soil will change; these reasons will cause the final test result to be inaccurate. And in many special scenes and areas (such as serious chemical pollution, high temperature, swamps, some slopes and other dangerous areas), it i...

AI Technical Summary

Problems solved by technology

[0004] However, when the existing video image acquisition equipment shoots macro video images, it is easily affected by natural conditions (such as rain and snow, smog, dust, sunlight intensity and electromagnetic interference, etc.), resulting in clear macro video images. Poor accuracy and resolution

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