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The present application provides an asphalt pavement apparent disease evolution deduction method, system, device and medium, which belongs to the field of road engineering, transportation infrastructure operation and maintenance and intelligent detection technology, and comprises the following steps: constructing a unified space-time reference system, aligning and normalizing multi-source data in space-time; forming section-level disease quantification characteristics based on the recognition results of the inspection images and the structural indexes; event coding the maintenance measures of the road surface and pre-processing the section-level disease quantification characteristics corresponding to the time of the maintenance measures; constructing the correlation, time lag effect and spatial consistency between the disease types, disease characteristics and structural indexes to generate the collaborative evolution characteristics of the coupling relationship between diseases; constructing a deep time series prediction model to obtain the disease development trend at a specified time scale in the future, and forming the section-level disease evolution prediction result. The present application can depict the disease development law at different road sections and different time scales, and predict the future disease expansion.

This invention discloses a contamination judgment method, a contamination judgment system, and a cleaning method for a vehicle-mounted camera. The contamination judgment method includes the following steps: allowing a vehicle-mounted camera to capture a poster containing scene information through contaminated specimens of different gray levels to obtain a series of specimen images; converting the original image data of the series of specimen images into HSV format image data; extracting the mean and variance of the HSV color space of the HSV format image data of the series of specimen images as features and inputting them into a support vector machine algorithm model to train a classification algorithm model; inputting the image data of a detection image captured by the vehicle-mounted camera as input features into the classification algorithm model to allow the classification algorithm model to classify the detection image captured by the vehicle-mounted camera; and determining whether the lens surface of the vehicle-mounted camera is contaminated based on the classification result of the classification algorithm model.

The invention relates to a locking mechanism provided and adapted to interact with at least one locking element to establish a lock between the locking mechanism and the locking element, wherein the locking mechanism comprises a first locking pawl and a second locking pawl, which are independently rotatable from each other about a first rotation axis, wherein the first locking pawl is arranged and adapted to interact with a first locking element, and wherein the second locking pawl is arranged and adapted to interact with a second locking element, wherein a secure lock exists when the first locking element is locked to the first locking pawl and the second locking element is locked to the second locking pawl.