Chemical pipeline figure usually contains a large number of valves and fittings, which are the difficult part of 3D reconstruction. Based on the study of simply connected chemical pipeline reconstruction, a method that replaced different valves or fittings with different color segments was proposed. This method helped identify and match pipelines more quickly and accurately, and completed the 3D reconstruction. The main content consisted of the information recognition and matched with the front view and a top view of the pipeline diagram, the storage and access of 3D information, and the study of application examples. The implementation was mainly conducted by using AutoLISP, which was the secondary development language of AutoCAD.

With Fourier transform of infrared spectroscopy and smart performance sampling, 50 plastic woven bags of different types and different places were analyzed. According to different absorption peaks of infrared spectra, the polymer material (plastic bag) samples were divided into two categories. According to the peak number, peak position, peak shape and relative peak height ratio, we can distinguish each type of sample. At the same time we test the repeatability of the method and the minimum detectable amount. This method does not destroy samples under inspect and has good repeatability. Therefore, it can be used to characterize polymer materials (plastic woven bag）.