| abstract |
The invention relates to a lifting system tail rope health monitoring system and method based on a convolutional neural network, belonging to the field of mechanical system health monitoring. The drum of the monitoring system pulls the lifting wire rope to move; the tops of the two lifting containers are respectively connected with the wire ropes; the bottom ends of the two lifting containers are respectively connected through tail ropes; it is characterized in that: it also includes an image acquisition system, a mobile wireless sensor Network, upper computer; the image acquisition system is used to collect the state of the tail rope, and the image acquisition system transmits the state of the tail rope to the upper computer through the mobile wireless sensor network, and the upper computer performs deep mining on the image data, and targets the state of the tail rope Carry out fault analysis and early warning. The tail rope health monitoring system and method of the hoisting system based on the convolutional neural network provided by the present invention can replace manual inspection and realize the automation of the whole process of "collection-learning-prediction-warning" of tail rope data information. |