Research On Dust Monitoring Method Of Construction Site Based On Video Image Processing

With the rapid development of China's economy,the acceleration of industrialization,the increase of projects under construction,haze,dust and other pollution have gradually become the main factors affecting the national ecological environment.The pollutant composition of construction site is complex,including PM_2.5,PM₁₀,material sawdust,earthwork dust,etc.,which is one of the main sources of Urban Haze Weather and regional dust pollution.Governments at all levels pay more and more attention to the control of dust pollution in construction sites,and require construction sites to be equipped with dust pollution detection system.The existing domestic monitoring methods for dust pollution in construction are generally composed of TSP monitors,which are mainly distributed around the enclosure and at the entrances and exits of the projects under construction.The monitoring effect is often affected by weather factors with large error and long detection period,so it is difficult to provide accurate and convenient self inspection methods for dust pollution for the construction management party,resulting in the passive punishment of the construction site Noodles.Therefore,it is necessary to explore a dust detection method with strong visualization and credible detection results of construction dust monitoring,which has certain theoretical significance and application value for improving the self inspection ability of construction management party for dust pollution and helping to control dust pollution.This paper analyzes the characteristics of dust pollution in construction site,summarizes the sources of dust pollution in construction site,uses the monitoring camera in construction site as the image data source to detect and analyze dust pollution,improves the image binarization method in image processing technology by adding shadow removal algorithm,and obtains the background segmentation method suitable for dust pollution monitoring image in construction site method.On this basis,the gray level co-occurrence matrix is applied to the image processed in the construction site,and the eigenvalues suitable for dust pollution recognition are extracted and selected.A dust pollution recognition method based on the image gray level co-occurrence matrix eigenvalue recognition processing is proposed.Visual C++5.0 is used to write and package each subprogram module,forming a complete image processing pollution monitoring function,further improving the construction dust video image processing monitoring method.Finally,through the pollution identification processing of a monitoring image of a construction site in Xi'an,it is verified that the dust pollution identification method based on the image gray level co-occurrence matrix eigenvalue identification processing is more accurate than the detection and identification results of the TSP dust particle pollution monitor on site,with shorter cycle,which is more convenient for the construction management to self check and self check the construction dust pollution.This method can provide a practical,reliable and easy to realize dust pollution detection and identification means for the construction site.