The Crane Of The Statistical Characteristics Of The Dynamic Mechanical Properties Of Parameter Analysis And Association Rule Mining

The safe and continuous operation of the cranes have been attached importance with Shanghai has been regarded as the international shipping center. The administration departments of the yard in China have attached importance to the status monitoring and evaluation of the cranes.The crane always distribute dispersedly on the front of the yard where the working environments and conditions is bad. In this paper, the concept of data mining is put into use on the crane on the basis of the status monitoring of the working cycle. We find some rules and connections between the characteristic parameters of cranes by analyzing the statistical distribution of them, these results can help us to administrate the yards and the crane better.The metadata in this paper comes from the Shanghai WaiGaoQiao No.4 Yard. First we collect the data though the CMAS and make some transformation, then choose the right data for data mining after making the data analysis, at last, we find some connections and rules by using the traditional Apriori arithmetic in Association rule. During the process of data mining, the analyzing of the rules of these 22 characteristic parameters of cranes and disperse of the numerical value is one of the key points, for the result of disperse of the numerical value affect the finishing of the data mining much. We find there are some associations and connections between the monitoring points by data mining, these associations can help us find the changes of the cranes so that we can hold the working states.