Integrity Detection Method of Graph Model Structure of Safety Net

Abstract

The invention relates to an integrity detection method for a graphical model structure of a safety net, which comprises the steps of constructing a marking matrix of railway wagon tarpaulin rope net, and detecting the integrity of a graphical model geometric structure. The integrity detection method is based on non-rigid network modeling, and can realize automatic detection and recognition for the state of the railway wagon tarpaulin rope net based on linear array CCD pictures under the background of a complicated natural environment. Whether a topological structure of the safety net is integral or not is judged through acquired wagon pictures, and thus whether the structure of the safety net is integral or not is determined. The method provided by the invention has very high detection precision and low classification error rate, and can reduce the workload in checking the state of the safety net manually. Meanwhile, the high detection speed also meets actual engineering requirements.

Description

technical field [0001] The invention relates to the technical field of picture recognition, in particular to a method for detecting the integrity of a graph model structure of a safety net. Background technique [0002] The reinforcement of train cargo loading is an important measure to ensure the safety of railway operation and cargo safety. The train operation is in a dynamic state. If the load is not well reinforced, the cargo will move, roll, overturn or fall, collapse, and even cause the train to overturn. When transporting goods by gondola car, the loading reinforced net rope is the most important safety protection means for the outermost layer of the car, and it is very easy to have safety hazards such as abnormal loading when the train is running at high speed. [0003] At this stage, the detection and identification of the rope net loaded with reinforced tarpaulin can only be detected by human eyes, and the workload of the workers is heavy. Moreover, due to the den...

AI Technical Summary

Problems solved by technology

The train operation is in a dynamic state. If the loading reinforcement is not good, the cargo will move, roll, overturn or fall, collapse, and even cause the train to overturn.

When transporting goods by gondola car, the loading reinforced net rope is the most important safety protection method on the outermost layer of the car, and it is very easy to have safety hazards such as abnormal loading during high-speed train operation

[0003] At this stage, the detection and identification of the rope net loaded with reinforced tarpaulin can only be detected by human eyes, and the workload of the workers is heavy. Moreover, due to the dense distribution of the net ropes that constitute the safety net and the complex background of the tarpaulin, it is easy to cause missed detection, and then Accident hazard