Research On The Key Technology Of Intelligent Cleaning And Inspection Of Engineering Transportation Vehicles

In the process of urban construction,the phenomenon of engineering transportation vehicles carrying mud on the road has repeatedly been banned,severely disrupting the cleanliness of the road and air quality,threatening traffic safety and the residents’ health.Government departments have requested to install engineering car washing machines at the exit of the construction sites,and to wash and reduce dust on engineering transport vehicles.There are two main problems in the use of engineering car washing machine.On the one hand,the car washer cannot thoroughly clean the highly viscous mud on the tires,which requires manual second flushing.On the other hand,the management department lacks effective monitoring methods for tires’ cleanliness.In order to replace manual flushing,this thesis researched and designed an intelligent tire follow-up cleaning device.Its core component is a high-pressure flushing car that can recognize and follow the movement of the tire.According to the application requirements on the construction site,this thesis carried out the mechanical structure design of the follow-up tire cleaning device,the design and selection of the control system software and hardware,and completed the installation and commissioning of the follow-up washing machine together with the cooperative unit.In order to help the relevant departments to monitor the cleanliness of tires on engineering transportation vehicles,this thesis has carried out researches on visual inspection of tire cleanliness.First of all,the industrial camera,lens and light source were selected reasonably,and the tire image collection work was completed.The weighted average method was used to grayscale the tire image,which improved the contrast of the image.The median filter method was used to remove the noise from the tire image,and the image noise was filtered.The gray image stretching algorithm was used to enhance the tire image,which expanded the local features of the mud.Based on the binarization algorithm and connected area filtering,the gray feature extraction of tire mud was completed.Using the labeling algorithm of the connected area,by calculating the percentage of the mud-free area in the tire area,the cleanliness of the construction vehicle tires was initially tested and evaluated,and a software interface for cleanliness detection was designed.The intelligent cleaning and testing methods for engineering transport vehicle tires mentioned in this article have been put into use in many construction sites.It proves the feasibility of this cleaning and testing method.