Semi-supervised learning-based muck truck stealing judgment method, system and device

Abstract

The invention discloses a semi-supervised learning-based muck truck stealing judgment method. The method comprises the following steps of: S1, preprocessing overload source data; S2, establishing a load model by using a graph-based label propagation algorithm; and S3, substituting the preprocessed overload source data into a load model to obtain a load prediction value. According to the invention,research on supervision actual demands in a muck vehicle transportation process is carried out; a positioning and tracking function of a GP step S module of a vehicle-mounted terminal is utilized; aset of practical muck truck stealing judgment scheme is designed in combination with artificial intelligence technology, real-time judgment of illegal behaviors in the muck truck transportation process is achieved, backtracking and responsibility investigation can be conducted on places where the illegal behaviors with consequences occur, and effective evidences are provided for management work. The monitoring strength and efficiency are improved, illegal operation is avoided, it is ensured that muck vehicles run orderly, and powerful evidences and scientific decision-making bases are providedfor administrative management and law enforcement of related government functional departments.

Description

technical field [0001] The invention relates to the field of physics, in particular to traffic state detection technology, in particular to a semi-supervised learning-based method, system and device for judging a dump truck slipping over. Background technique [0002] As a vehicle for transporting engineering dregs and construction waste, muck trucks play an important role in urban construction. Traffic violations by muck trucks can easily lead to traffic accidents. Currently, the main problems of muck trucks in cities are traffic safety, environmental sanitation, and noise pollution. For example, when the muck truck enters and exits the road, it does not give way in accordance with the regulations and collides with other vehicles on the side. Overloading and speeding can easily cause the vehicle to roll over, and the vehicle is easily dumped, dumped randomly, and the vehicle is overloaded, seriously polluting the sanitation of the urban road environment. It is also an impo...

AI Technical Summary

Problems solved by technology

The traffic violations of muck trucks can easily lead to traffic accidents. The main problems existing in urban muck trucks are traffic safety, environmental sanitation, and noise pollution.

The quality management of the muck vehicle itself is not done well, resulting in poor quality and safety performance of the vehicle itself, which is the cause of the transportation management problem

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